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@article{DBLP:journals/csda/XiangZT24,
author = {Pengcheng Xiang and
Ling Zhou and
Lu Tang},
title = {Transfer learning via random forests: {A} one-shot federated approach},
journal = {Comput. Stat. Data Anal.},
volume = {197},
pages = {107975},
year = {2024},
url = {https://doi.org/10.1016/j.csda.2024.107975},
doi = {10.1016/J.CSDA.2024.107975},
timestamp = {Fri, 26 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/csda/XiangZT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/csysl/OksuzMSR24,
author = {Halil Yigit {\"{O}}ks{\"{u}}z and
Fabio Molinari and
Henning Sprekeler and
J{\"{o}}rg Raisch},
title = {Boosting Fairness and Robustness in Over-the-Air Federated Learning},
journal = {{IEEE} Control. Syst. Lett.},
volume = {8},
pages = {682--687},
year = {2024},
url = {https://doi.org/10.1109/LCSYS.2024.3402123},
doi = {10.1109/LCSYS.2024.3402123},
timestamp = {Thu, 04 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/csysl/OksuzMSR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijns/MadniUF24,
author = {Hussain Ahmad Madni and
Rao Muhammad Umer and
Gian Luca Foresti},
title = {Robust Federated Learning for Heterogeneous Model and Data},
journal = {Int. J. Neural Syst.},
volume = {34},
number = {4},
pages = {2450019:1--2450019:11},
year = {2024},
url = {https://doi.org/10.1142/S0129065724500199},
doi = {10.1142/S0129065724500199},
timestamp = {Tue, 19 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/ijns/MadniUF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijon/RenDXMW24,
author = {Hanchi Ren and
Jingjing Deng and
Xianghua Xie and
Xiaoke Ma and
Yichuan Wang},
title = {FedBoosting: Federated learning with gradient protected boosting for
text recognition},
journal = {Neurocomputing},
volume = {569},
pages = {127126},
year = {2024},
url = {https://doi.org/10.1016/j.neucom.2023.127126},
doi = {10.1016/J.NEUCOM.2023.127126},
timestamp = {Fri, 08 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/ijon/RenDXMW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/iot/SiddiqueADBAA24,
author = {Ali Akbar Siddique and
Nada Alasbali and
Maha Driss and
Wadii Boulila and
Mohammed S. Alshehri and
Jawad Ahmad},
title = {Sustainable collaboration: Federated learning for environmentally
conscious forest fire classification in Green Internet of Things (IoT)},
journal = {Internet Things},
volume = {25},
pages = {101013},
year = {2024},
url = {https://doi.org/10.1016/j.iot.2023.101013},
doi = {10.1016/J.IOT.2023.101013},
timestamp = {Sat, 08 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/iot/SiddiqueADBAA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/patterns/PezoulasKEGTF24,
author = {Vasileios C. Pezoulas and
Fanis G. Kalatzis and
Themis P. Exarchos and
Andreas Goules and
Athanasios G. Tzioufas and
Dimitrios I. Fotiadis},
title = {{FHBF:} Federated hybrid boosted forests with dropout rates for supervised
learning tasks across highly imbalanced clinical datasets},
journal = {Patterns},
volume = {5},
number = {1},
pages = {100893},
year = {2024},
url = {https://doi.org/10.1016/j.patter.2023.100893},
doi = {10.1016/J.PATTER.2023.100893},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/patterns/PezoulasKEGTF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tai/TianTZCXYZC24,
author = {Jiao Tian and
Pei{-}Wei Tsai and
Kai Zhang and
Xinyi Cai and
Hongwang Xiao and
Ke Yu and
Wenyu Zhao and
Jinjun Chen},
title = {Synergetic Focal Loss for Imbalanced Classification in Federated XGBoost},
journal = {{IEEE} Trans. Artif. Intell.},
volume = {5},
number = {2},
pages = {647--660},
year = {2024},
url = {https://doi.org/10.1109/TAI.2023.3254519},
doi = {10.1109/TAI.2023.3254519},
timestamp = {Sat, 16 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tai/TianTZCXYZC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tdsc/TianZHLZLR24,
author = {Zhihua Tian and
Rui Zhang and
Xiaoyang Hou and
Lingjuan Lyu and
Tianyi Zhang and
Jian Liu and
Kui Ren},
title = {{\textdollar}\{{\textbackslash}sf FederBoost\}{\textdollar}: Private
Federated Learning for {GBDT}},
journal = {{IEEE} Trans. Dependable Secur. Comput.},
volume = {21},
number = {3},
pages = {1274--1285},
year = {2024},
url = {https://doi.org/10.1109/TDSC.2023.3276365},
doi = {10.1109/TDSC.2023.3276365},
timestamp = {Fri, 31 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tdsc/TianZHLZLR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tsc/XuZZWZLL24,
author = {Wei Xu and
Hui Zhu and
Yandong Zheng and
Fengwei Wang and
Jiaqi Zhao and
Zhe Liu and
Hui Li},
title = {{ELXGB:} An Efficient and Privacy-Preserving XGBoost for Vertical
Federated Learning},
journal = {{IEEE} Trans. Serv. Comput.},
volume = {17},
number = {3},
pages = {878--892},
year = {2024},
url = {https://doi.org/10.1109/TSC.2024.3394706},
doi = {10.1109/TSC.2024.3394706},
timestamp = {Thu, 04 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tsc/XuZZWZLL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/WangBBK24,
author = {Mengdi Wang and
Anna Bodonhelyi and
Efe Bozkir and
Enkelejda Kasneci},
editor = {Michael J. Wooldridge and
Jennifer G. Dy and
Sriraam Natarajan},
title = {TurboSVM-FL: Boosting Federated Learning through {SVM} Aggregation
for Lazy Clients},
booktitle = {Thirty-Eighth {AAAI} Conference on Artificial Intelligence, {AAAI}
2024, Thirty-Sixth Conference on Innovative Applications of Artificial
Intelligence, {IAAI} 2024, Fourteenth Symposium on Educational Advances
in Artificial Intelligence, {EAAI} 2014, February 20-27, 2024, Vancouver,
Canada},
pages = {15546--15554},
publisher = {{AAAI} Press},
year = {2024},
url = {https://doi.org/10.1609/aaai.v38i14.29481},
doi = {10.1609/AAAI.V38I14.29481},
timestamp = {Tue, 02 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/WangBBK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/bigdatasec/WangGG24,
author = {Zijun Wang and
Hongchen Guo and
Keke Gai},
title = {Decision Tree-based Privacy Protection in Federated Learning: {A}
Survey},
booktitle = {10th {IEEE} Conference on Big Data Security on Cloud, BigDataSecurity
2024, New York City, NY, USA, May 10-12, 2024},
pages = {119--124},
publisher = {{IEEE}},
year = {2024},
url = {https://doi.org/10.1109/BigDataSecurity62737.2024.00028},
doi = {10.1109/BIGDATASECURITY62737.2024.00028},
timestamp = {Mon, 01 Jul 2024 17:15:07 +0200},
biburl = {https://dblp.org/rec/conf/bigdatasec/WangGG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cceai/ChingH24,
author = {Cheng{-}Wei Ching and
Liting Hu},
editor = {Wenqiang Zhang and
Yong Yue and
Marek R. Ogiela},
title = {Decaffe: {DHT} Tree-Based Online Federated Fake News Detection},
booktitle = {2024 8th International Conference on Control Engineering and Artificial
Intelligence, {CCEAI} 2024, Shanghai, China, January 26-28, 2024},
pages = {102--108},
publisher = {{ACM}},
year = {2024},
url = {https://doi.org/10.1145/3640824.3640840},
doi = {10.1145/3640824.3640840},
timestamp = {Mon, 15 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/cceai/ChingH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ccnc/ShimamuraT24,
author = {Kotaro Shimamura and
Shinya Takamaeda{-}Yamazaki},
title = {FS-Boost: Communication-Efficient Federated Subtree-Based Gradient
Boosting Decision Trees},
booktitle = {21st {IEEE} Consumer Communications {\&} Networking Conference,
{CCNC} 2024, Las Vegas, NV, USA, January 6-9, 2024},
pages = {839--842},
publisher = {{IEEE}},
year = {2024},
url = {https://doi.org/10.1109/CCNC51664.2024.10454880},
doi = {10.1109/CCNC51664.2024.10454880},
timestamp = {Tue, 26 Mar 2024 22:14:36 +0100},
biburl = {https://dblp.org/rec/conf/ccnc/ShimamuraT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/drcn/DrissSEDS24,
author = {Maryam Ben Driss and
Essaid Sabir and
Halima Elbiaze and
Abdoulaye Banir{\'{e}} Diallo and
Mohamed Sadik},
title = {GWO-Boosted Multi-Attribute Client Selection for Over- The-Air Federated
Learning},
booktitle = {20th International Conference on the Design of Reliable Communication
Networks, {DRCN} 2024, Montreal, QC, Canada, May 6-9, 2024},
pages = {62--69},
publisher = {{IEEE}},
year = {2024},
url = {https://doi.org/10.1109/DRCN60692.2024.10539149},
doi = {10.1109/DRCN60692.2024.10539149},
timestamp = {Thu, 06 Jun 2024 16:34:27 +0200},
biburl = {https://dblp.org/rec/conf/drcn/DrissSEDS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/hpca/ZhangZCWMH24,
author = {Yuhui Zhang and
Lutan Zhao and
Cheng Che and
XiaoFeng Wang and
Dan Meng and
Rui Hou},
title = {SpecFL: An Efficient Speculative Federated Learning System for Tree-based
Model Training},
booktitle = {{IEEE} International Symposium on High-Performance Computer Architecture,
{HPCA} 2024, Edinburgh, United Kingdom, March 2-6, 2024},
pages = {817--831},
publisher = {{IEEE}},
year = {2024},
url = {https://doi.org/10.1109/HPCA57654.2024.00068},
doi = {10.1109/HPCA57654.2024.00068},
timestamp = {Wed, 17 Apr 2024 17:17:11 +0200},
biburl = {https://dblp.org/rec/conf/hpca/ZhangZCWMH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icde/00020WCHX24,
author = {Yihang Cheng and
Lan Zhang and
Junyang Wang and
Xiaokai Chu and
Dongbo Huang and
Lan Xu},
title = {FedMix: Boosting with Data Mixture for Vertical Federated Learning},
booktitle = {40th {IEEE} International Conference on Data Engineering, {ICDE} 2024,
Utrecht, The Netherlands, May 13-16, 2024},
pages = {3379--3392},
publisher = {{IEEE}},
year = {2024},
url = {https://doi.org/10.1109/ICDE60146.2024.00261},
doi = {10.1109/ICDE60146.2024.00261},
timestamp = {Mon, 29 Jul 2024 14:11:15 +0200},
biburl = {https://dblp.org/rec/conf/icde/00020WCHX24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/pakdd/FanCMKFY24,
author = {Tao Fan and
Weijing Chen and
Guoqiang Ma and
Yan Kang and
Lixin Fan and
Qiang Yang},
editor = {De{-}Nian Yang and
Xing Xie and
Vincent S. Tseng and
Jian Pei and
Jen{-}Wei Huang and
Jerry Chun{-}Wei Lin},
title = {SecureBoost+: Large Scale and High-Performance Vertical Federated
Gradient Boosting Decision Tree},
booktitle = {Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia
Conference on Knowledge Discovery and Data Mining, {PAKDD} 2024, Taipei,
Taiwan, May 7-10, 2024, Proceedings, Part {III}},
series = {Lecture Notes in Computer Science},
volume = {14647},
pages = {237--249},
publisher = {Springer},
year = {2024},
url = {https://doi.org/10.1007/978-981-97-2259-4\_18},
doi = {10.1007/978-981-97-2259-4\_18},
timestamp = {Fri, 03 May 2024 21:22:13 +0200},
biburl = {https://dblp.org/rec/conf/pakdd/FanCMKFY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/www/GuoZZXK24,
author = {Zhihan Guo and
Yifei Zhang and
Zhuo Zhang and
Zenglin Xu and
Irwin King},
editor = {Tat{-}Seng Chua and
Chong{-}Wah Ngo and
Roy Ka{-}Wei Lee and
Ravi Kumar and
Hady W. Lauw},
title = {FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language
Tree for Multilingual Modeling},
booktitle = {Companion Proceedings of the {ACM} on Web Conference 2024, {WWW} 2024,
Singapore, Singapore, May 13-17, 2024},
pages = {1558--1567},
publisher = {{ACM}},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651933},
doi = {10.1145/3589335.3651933},
timestamp = {Tue, 23 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/www/GuoZZXK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2401-06263,
author = {Timur Sattarov and
Marco Schreyer and
Damian Borth},
title = {FedTabDiff: Federated Learning of Diffusion Probabilistic Models for
Synthetic Mixed-Type Tabular Data Generation},
journal = {CoRR},
volume = {abs/2401.06263},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2401.06263},
doi = {10.48550/ARXIV.2401.06263},
eprinttype = {arXiv},
eprint = {2401.06263},
timestamp = {Thu, 25 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2401-06263.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2401-12012,
author = {Mengdi Wang and
Anna Bodonhelyi and
Efe Bozkir and
Enkelejda Kasneci},
title = {TurboSVM-FL: Boosting Federated Learning through {SVM} Aggregation
for Lazy Clients},
journal = {CoRR},
volume = {abs/2401.12012},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2401.12012},
doi = {10.48550/ARXIV.2401.12012},
eprinttype = {arXiv},
eprint = {2401.12012},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2401-12012.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2401-16094,
author = {Bastian Pfeifer and
Christel Sirocchi and
Marcus D. Bloice and
Markus Kreuzthaler and
Martin Urschler},
title = {Federated unsupervised random forest for privacy-preserving patient
stratification},
journal = {CoRR},
volume = {abs/2401.16094},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2401.16094},
doi = {10.48550/ARXIV.2401.16094},
eprinttype = {arXiv},
eprint = {2401.16094},
timestamp = {Tue, 06 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2401-16094.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2402-12761,
author = {Jinyu Cai and
Yunhe Zhang and
Zhoumin Lu and
Wenzhong Guo and
See{-}kiong Ng},
title = {{FGAD:} Self-boosted Knowledge Distillation for An Effective Federated
Graph Anomaly Detection Framework},
journal = {CoRR},
volume = {abs/2402.12761},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2402.12761},
doi = {10.48550/ARXIV.2402.12761},
eprinttype = {arXiv},
eprint = {2402.12761},
timestamp = {Thu, 21 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2402-12761.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2402-15070,
author = {Rong Dai and
Yonggang Zhang and
Ang Li and
Tongliang Liu and
Xun Yang and
Bo Han},
title = {Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting},
journal = {CoRR},
volume = {abs/2402.15070},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2402.15070},
doi = {10.48550/ARXIV.2402.15070},
eprinttype = {arXiv},
eprint = {2402.15070},
timestamp = {Fri, 05 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2402-15070.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2403-04431,
author = {Halil Yigit {\"{O}}ks{\"{u}}z and
Fabio Molinari and
Henning Sprekeler and
J{\"{o}}rg Raisch},
title = {Boosting Fairness and Robustness in Over-the-Air Federated Learning},
journal = {CoRR},
volume = {abs/2403.04431},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2403.04431},
doi = {10.48550/ARXIV.2403.04431},
eprinttype = {arXiv},
eprint = {2403.04431},
timestamp = {Wed, 03 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2403-04431.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2404-02510,
author = {Alberto Argente{-}Garrido and
Cristina Zuheros and
Mar{\'{\i}}a Victoria Luz{\'{o}}n and
Francisco Herrera},
title = {An Interpretable Client Decision Tree Aggregation process for Federated
Learning},
journal = {CoRR},
volume = {abs/2404.02510},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2404.02510},
doi = {10.48550/ARXIV.2404.02510},
eprinttype = {arXiv},
eprint = {2404.02510},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2404-02510.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2404-08261,
author = {Wenhao Yuan and
Xuehe Wang},
title = {{QI-DPFL:} Quality-Aware and Incentive-Boosted Federated Learning
with Differential Privacy},
journal = {CoRR},
volume = {abs/2404.08261},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2404.08261},
doi = {10.48550/ARXIV.2404.08261},
eprinttype = {arXiv},
eprint = {2404.08261},
timestamp = {Thu, 16 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2404-08261.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2404-14933,
author = {Dayananda Herurkar and
Sebastian Palacio and
Ahmed Anwar and
J{\"{o}}rn Hees and
Andreas Dengel},
title = {Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data},
journal = {CoRR},
volume = {abs/2404.14933},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2404.14933},
doi = {10.48550/ARXIV.2404.14933},
eprinttype = {arXiv},
eprint = {2404.14933},
timestamp = {Sat, 25 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2404-14933.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2405-01144,
author = {Niousha Nazemi and
Omid Tavallaie and
Shuaijun Chen and
Albert Y. Zomaya and
Ralph Holz},
title = {Boosting Communication Efficiency of Federated Learning's Secure Aggregation},
journal = {CoRR},
volume = {abs/2405.01144},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2405.01144},
doi = {10.48550/ARXIV.2405.01144},
eprinttype = {arXiv},
eprint = {2405.01144},
timestamp = {Sun, 09 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2405-01144.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2405-02060,
author = {William Lindskog and
Christian Prehofer},
title = {Federated Learning for Tabular Data using TabNet: {A} Vehicular Use-Case},
journal = {CoRR},
volume = {abs/2405.02060},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2405.02060},
doi = {10.48550/ARXIV.2405.02060},
eprinttype = {arXiv},
eprint = {2405.02060},
timestamp = {Sun, 09 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2405-02060.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2405-02067,
author = {William Lindskog and
Christian Prehofer and
Sarandeep Singh},
title = {Histogram-Based Federated XGBoost using Minimal Variance Sampling
for Federated Tabular Data},
journal = {CoRR},
volume = {abs/2405.02067},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2405.02067},
doi = {10.48550/ARXIV.2405.02067},
eprinttype = {arXiv},
eprint = {2405.02067},
timestamp = {Sun, 09 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2405-02067.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2405-02074,
author = {William Lindskog and
Christian Prehofer},
title = {A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based
Models and Neural Networks},
journal = {CoRR},
volume = {abs/2405.02074},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2405.02074},
doi = {10.48550/ARXIV.2405.02074},
eprinttype = {arXiv},
eprint = {2405.02074},
timestamp = {Sun, 09 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2405-02074.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2405-20738,
author = {Youngjun Park and
Cord Eric Schmidt and
Benedikt Marcel Batton and
Anne{-}Christin Hauschild},
title = {Federated Random Forest for Partially Overlapping Clinical Data},
journal = {CoRR},
volume = {abs/2405.20738},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2405.20738},
doi = {10.48550/ARXIV.2405.20738},
eprinttype = {arXiv},
eprint = {2405.20738},
timestamp = {Mon, 24 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2405-20738.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@phdthesis{DBLP:phd/tr/Gencturk23,
author = {Mert Gen{\c{c}}t{\"{u}}rk},
title = {Privacy-preserving horizontal federated learning methodology through
a novel boosting-based federated random forest algorithm (Yeni bir
g{\"{u}}{\c{c}}lendirmeye dayal{\i} birle{\c{s}}ik rastgele orman
algoritmas{\i}yla gizlili{\u{g}}i koruyan yatay birle{\c{s}}ik {\"{o}}{\u{g}}renim
y{\"{o}}ntemi)},
school = {Middle East Technical University, Turkey},
year = {2023},
url = {https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=qkfx8O8Y9-zH-yfDwHN2KQ\&no=C0X1zezB2x3d2RT964bVYA},
timestamp = {Sun, 19 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/phd/tr/Gencturk23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/access/MadniUF23,
author = {Hussain Ahmad Madni and
Rao Muhammad Umer and
Gian Luca Foresti},
title = {Blockchain-Based Swarm Learning for the Mitigation of Gradient Leakage
in Federated Learning},
journal = {{IEEE} Access},
volume = {11},
pages = {16549--16556},
year = {2023},
url = {https://doi.org/10.1109/ACCESS.2023.3246126},
doi = {10.1109/ACCESS.2023.3246126},
timestamp = {Sat, 11 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/access/MadniUF23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/apin/HaffarSD23,
author = {Rami Haffar and
David S{\'{a}}nchez and
Josep Domingo{-}Ferrer},
title = {Explaining predictions and attacks in federated learning via random
forests},
journal = {Appl. Intell.},
volume = {53},
number = {1},
pages = {169--185},
year = {2023},
url = {https://doi.org/10.1007/s10489-022-03435-1},
doi = {10.1007/S10489-022-03435-1},
timestamp = {Sat, 13 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/apin/HaffarSD23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/cbm/HousseinS23a,
author = {Essam H. Houssein and
Awny Sayed},
title = {Boosted federated learning based on improved Particle Swarm Optimization
for healthcare IoT devices},
journal = {Comput. Biol. Medicine},
volume = {163},
pages = {107195},
year = {2023},
url = {https://doi.org/10.1016/j.compbiomed.2023.107195},
doi = {10.1016/J.COMPBIOMED.2023.107195},
timestamp = {Sun, 24 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/cbm/HousseinS23a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/cea/ZhangZHYPLWZ23,
author = {Qiusi Zhang and
Xiangyu Zhao and
Yanyun Han and
Feng Yang and
Shouhui Pan and
Zhongqiang Liu and
Kaiyi Wang and
Chunjiang Zhao},
title = {Maize yield prediction using federated random forest},
journal = {Comput. Electron. Agric.},
volume = {210},
pages = {107930},
year = {2023},
url = {https://doi.org/10.1016/j.compag.2023.107930},
doi = {10.1016/J.COMPAG.2023.107930},
timestamp = {Tue, 30 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/cea/ZhangZHYPLWZ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/entropy/DuanLHJZHPX23,
author = {Shaoming Duan and
Chuanyi Liu and
Peiyi Han and
Xiaopeng Jin and
Xinyi Zhang and
Tianyu He and
Hezhong Pan and
Xiayu Xiang},
title = {HT-Fed-GAN: Federated Generative Model for Decentralized Tabular Data
Synthesis},
journal = {Entropy},
volume = {25},
number = {1},
pages = {88},
year = {2023},
url = {https://doi.org/10.3390/e25010088},
doi = {10.3390/E25010088},
timestamp = {Sat, 25 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/entropy/DuanLHJZHPX23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/fgcs/ArchettiIM23,
author = {Alberto Archetti and
Francesca Ieva and
Matteo Matteucci},
title = {Scaling survival analysis in healthcare with federated survival forests:
{A} comparative study on heart failure and breast cancer genomics},
journal = {Future Gener. Comput. Syst.},
volume = {149},
pages = {343--358},
year = {2023},
url = {https://doi.org/10.1016/j.future.2023.07.036},
doi = {10.1016/J.FUTURE.2023.07.036},
timestamp = {Sat, 28 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/fgcs/ArchettiIM23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijns/QinNZLJZ23,
author = {Xue Qin and
Yi Niu and
Huiyu Zhou and
Xiaojie Li and
Weikuan Jia and
Yuanjie Zheng},
title = {Driver Drowsiness {EEG} Detection Based on Tree Federated Learning
and Interpretable Network},
journal = {Int. J. Neural Syst.},
volume = {33},
number = {3},
pages = {2350009:1--2350009:17},
year = {2023},
url = {https://doi.org/10.1142/S0129065723500090},
doi = {10.1142/S0129065723500090},
timestamp = {Tue, 02 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ijns/QinNZLJZ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/istr/LiFQ23,
author = {Yingjie Li and
Yan Feng and
Quan Qian},
title = {FDPBoost: Federated differential privacy gradient boosting decision
trees},
journal = {J. Inf. Secur. Appl.},
volume = {74},
pages = {103468},
year = {2023},
url = {https://doi.org/10.1016/j.jisa.2023.103468},
doi = {10.1016/J.JISA.2023.103468},
timestamp = {Sat, 29 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/istr/LiFQ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jcsc/LiZZ23,
author = {Shuo Li and
Yanwei Zheng and
Yifei Zou},
title = {WFLTree: {A} Spanning Tree Construction for Federated Learning in
Wireless Networks},
journal = {J. Circuits Syst. Comput.},
volume = {32},
number = {13},
pages = {2350220:1--2350220:15},
year = {2023},
url = {https://doi.org/10.1142/S0218126623502201},
doi = {10.1142/S0218126623502201},
timestamp = {Thu, 14 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jcsc/LiZZ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jcst/HuHYLLC23,
author = {Chunyu Hu and
Lisha Hu and
Lin Yuan and
Dianjie Lu and
Lei Lyu and
Yiqiang Chen},
title = {FedIERF: Federated Incremental Extremely Random Forest for Wearable
Health Monitoring},
journal = {J. Comput. Sci. Technol.},
volume = {38},
number = {5},
pages = {970--984},
year = {2023},
url = {https://doi.org/10.1007/s11390-023-3009-0},
doi = {10.1007/S11390-023-3009-0},
timestamp = {Thu, 04 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/jcst/HuHYLLC23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jfi/YangLXTLS23,
author = {Mengwei Yang and
Shuqi Liu and
Jie Xu and
Guozhen Tan and
Congduan Li and
Linqi Song},
title = {Achieving privacy-preserving cross-silo anomaly detection using federated
XGBoost},
journal = {J. Frankl. Inst.},
volume = {360},
number = {9},
pages = {6194--6210},
year = {2023},
url = {https://doi.org/10.1016/j.jfranklin.2023.04.002},
doi = {10.1016/J.JFRANKLIN.2023.04.002},
timestamp = {Sun, 12 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/jfi/YangLXTLS23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tdsc/XuHXZLHD23,
author = {Guowen Xu and
Xingshuo Han and
Shengmin Xu and
Tianwei Zhang and
Hongwei Li and
Xinyi Huang and
Robert H. Deng},
title = {Hercules: Boosting the Performance of Privacy-Preserving Federated
Learning},
journal = {{IEEE} Trans. Dependable Secur. Comput.},
volume = {20},
number = {5},
pages = {4418--4433},
year = {2023},
url = {https://doi.org/10.1109/TDSC.2022.3218793},
doi = {10.1109/TDSC.2022.3218793},
timestamp = {Sun, 24 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tdsc/XuHXZLHD23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tifs/ZhaoZXWLL23,
author = {Jiaqi Zhao and
Hui Zhu and
Wei Xu and
Fengwei Wang and
Rongxing Lu and
Hui Li},
title = {SGBoost: An Efficient and Privacy-Preserving Vertical Federated Tree
Boosting Framework},
journal = {{IEEE} Trans. Inf. Forensics Secur.},
volume = {18},
pages = {1022--1036},
year = {2023},
url = {https://doi.org/10.1109/TIFS.2022.3232955},
doi = {10.1109/TIFS.2022.3232955},
timestamp = {Tue, 31 Jan 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tifs/ZhaoZXWLL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tii/CuiMZY23,
author = {Laizhong Cui and
Jiating Ma and
Yipeng Zhou and
Shui Yu},
title = {Boosting Accuracy of Differentially Private Federated Learning in
Industrial IoT With Sparse Responses},
journal = {{IEEE} Trans. Ind. Informatics},
volume = {19},
number = {1},
pages = {910--920},
year = {2023},
url = {https://doi.org/10.1109/TII.2022.3161517},
doi = {10.1109/TII.2022.3161517},
timestamp = {Fri, 30 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tii/CuiMZY23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tsc/HanGWL23,
author = {Zhaoyang Han and
Chunpeng Ge and
Bingzhe Wu and
Zhe Liu},
title = {Lightweight Privacy-Preserving Federated Incremental Decision Trees},
journal = {{IEEE} Trans. Serv. Comput.},
volume = {16},
number = {3},
pages = {1964--1975},
year = {2023},
url = {https://doi.org/10.1109/TSC.2022.3195179},
doi = {10.1109/TSC.2022.3195179},
timestamp = {Fri, 07 Jul 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tsc/HanGWL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tsc/ZhengXWGH23,
author = {Yifeng Zheng and
Shuangqing Xu and
Songlei Wang and
Yansong Gao and
Zhongyun Hua},
title = {Privet: {A} Privacy-Preserving Vertical Federated Learning Service
for Gradient Boosted Decision Tables},
journal = {{IEEE} Trans. Serv. Comput.},
volume = {16},
number = {5},
pages = {3604--3620},
year = {2023},
url = {https://doi.org/10.1109/TSC.2023.3279839},
doi = {10.1109/TSC.2023.3279839},
timestamp = {Fri, 27 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tsc/ZhengXWGH23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tvt/JiZKZLY23,
author = {Yun Ji and
Xiaoxiong Zhong and
Zhoubin Kou and
Sheng Zhang and
Hangfan Li and
Yuanyuan Yang},
title = {Efficiency-Boosting Federated Learning in Wireless Networks: {A} Long-Term
Perspective},
journal = {{IEEE} Trans. Veh. Technol.},
volume = {72},
number = {7},
pages = {9434--9447},
year = {2023},
url = {https://doi.org/10.1109/TVT.2023.3250273},
doi = {10.1109/TVT.2023.3250273},
timestamp = {Sat, 05 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tvt/JiZKZLY23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/KangYWGDZ23,
author = {Xiangping Kang and
Guoxian Yu and
Jun Wang and
Wei Guo and
Carlotta Domeniconi and
Jinglin Zhang},
editor = {Brian Williams and
Yiling Chen and
Jennifer Neville},
title = {Incentive-Boosted Federated Crowdsourcing},
booktitle = {Thirty-Seventh {AAAI} Conference on Artificial Intelligence, {AAAI}
2023, Thirty-Fifth Conference on Innovative Applications of Artificial
Intelligence, {IAAI} 2023, Thirteenth Symposium on Educational Advances
in Artificial Intelligence, {EAAI} 2023, Washington, DC, USA, February
7-14, 2023},
pages = {6021--6029},
publisher = {{AAAI} Press},
year = {2023},
url = {https://doi.org/10.1609/aaai.v37i5.25744},
doi = {10.1609/AAAI.V37I5.25744},
timestamp = {Tue, 17 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/KangYWGDZ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/apnet/ZhengCM23,
author = {Qianyuan Zheng and
Hao Chen and
Zhan Ma},
title = {Bamboo: Boosting Training Efficiency for Real-Time Video Streaming
via Online Grouped Federated Transfer Learning},
booktitle = {Proceedings of the 7th Asia-Pacific Workshop on Networking, {APNET}
2023, Hong Kong, China, June 29-30, 2023},
pages = {215--216},
publisher = {{ACM}},
year = {2023},
url = {https://doi.org/10.1145/3600061.3600069},
doi = {10.1145/3600061.3600069},
timestamp = {Thu, 04 Jul 2024 14:19:50 +0200},
biburl = {https://dblp.org/rec/conf/apnet/ZhengCM23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/bdcloud/WangACLWCY23,
author = {Zhen Wang and
Daniyal M. Alghazzawi and
Li Cheng and
Gaoyang Liu and
Chen Wang and
Zeng Cheng and
Yang Yang},
title = {FedCSA: Boosting the Convergence Speed of Federated Unlearning under
Data Heterogeneity},
booktitle = {{IEEE} Intl Conf on Parallel {\&} Distributed Processing with
Applications, Big Data {\&} Cloud Computing, Sustainable Computing
{\&} Communications, Social Computing {\&} Networking, ISPA/BDCloud/SocialCom/SustainCom,
2023, Wuhan, China, December 21-24, 2023},
pages = {388--393},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00083},
doi = {10.1109/ISPA-BDCLOUD-SOCIALCOM-SUSTAINCOM59178.2023.00083},
timestamp = {Wed, 24 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/bdcloud/WangACLWCY23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/bibe/HuC23,
author = {Yan Hu and
Ahmad Chaddad},
title = {Boosting Classification Tasks with Federated Learning: Concepts, Experiments
and Perspectives},
booktitle = {23rd {IEEE} International Conference on Bioinformatics and Bioengineering,
{BIBE} 2023, Dayton, OH, USA, December 4-6, 2023},
pages = {147--154},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/BIBE60311.2023.00031},
doi = {10.1109/BIBE60311.2023.00031},
timestamp = {Fri, 01 Mar 2024 14:00:57 +0100},
biburl = {https://dblp.org/rec/conf/bibe/HuC23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cacml/CaiCS23,
author = {Hongyi Cai and
Jianping Cai and
Lan Sun},
title = {An Adaptive Gradient Privacy-Preserving Algorithm for Federated XGBoost},
booktitle = {Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing
and Machine Learning, {CACML} 2023, Shanghai, China, March 17-19,
2023},
pages = {277--282},
publisher = {{ACM}},
year = {2023},
url = {https://doi.org/10.1145/3590003.3590051},
doi = {10.1145/3590003.3590051},
timestamp = {Fri, 07 Jul 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/cacml/CaiCS23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/eurosys/MaQBL23,
author = {Chenyang Ma and
Xinchi Qiu and
Daniel J. Beutel and
Nicholas D. Lane},
editor = {Eiko Yoneki and
Luigi Nardi},
title = {Gradient-less Federated Gradient Boosting Tree with Learnable Learning
Rates},
booktitle = {Proceedings of the 3rd Workshop on Machine Learning and Systems, EuroMLSys
2023, Rome, Italy, 8 May 2023},
pages = {56--63},
publisher = {{ACM}},
year = {2023},
url = {https://doi.org/10.1145/3578356.3592579},
doi = {10.1145/3578356.3592579},
timestamp = {Wed, 17 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/eurosys/MaQBL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/fmec/LindskogP23,
author = {William Lindskog and
Christian Prehofer},
title = {A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based
Models and Neural Networks},
booktitle = {Eighth International Conference on Fog and Mobile Edge Computing,
{FMEC} 2023, Tartu, Estonia, September 18-20, 2023},
pages = {239--246},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/FMEC59375.2023.10305887},
doi = {10.1109/FMEC59375.2023.10305887},
timestamp = {Thu, 16 Nov 2023 09:03:44 +0100},
biburl = {https://dblp.org/rec/conf/fmec/LindskogP23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/fmec/LindskogPS23,
author = {William Lindskog and
Christian Prehofer and
Sarandeep Singh},
title = {Histogram-Based Federated XGBoost using Minimal Variance Sampling
for Federated Tabular Data},
booktitle = {Eighth International Conference on Fog and Mobile Edge Computing,
{FMEC} 2023, Tartu, Estonia, September 18-20, 2023},
pages = {182--189},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/FMEC59375.2023.10306242},
doi = {10.1109/FMEC59375.2023.10306242},
timestamp = {Thu, 16 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/fmec/LindskogPS23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icassp/NguyenLN23,
author = {Quang Minh Nguyen and
Nhan Khanh Le and
Lam M. Nguyen},
title = {Scalable and Secure Federated XGBoost},
booktitle = {{IEEE} International Conference on Acoustics, Speech and Signal Processing
{ICASSP} 2023, Rhodes Island, Greece, June 4-10, 2023},
pages = {1--5},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/ICASSP49357.2023.10097233},
doi = {10.1109/ICASSP49357.2023.10097233},
timestamp = {Sun, 05 Nov 2023 16:51:21 +0100},
biburl = {https://dblp.org/rec/conf/icassp/NguyenLN23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icassp/WangXYWQ23,
author = {Shuai Wang and
Yanqing Xu and
Yanli Yuan and
Xiuhua Wang and
Tony Q. S. Quek},
title = {Boosting Semi-Supervised Federated Learning with Model Personalization
and Client-Variance-Reduction},
booktitle = {{IEEE} International Conference on Acoustics, Speech and Signal Processing
{ICASSP} 2023, Rhodes Island, Greece, June 4-10, 2023},
pages = {1--5},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/ICASSP49357.2023.10096678},
doi = {10.1109/ICASSP49357.2023.10096678},
timestamp = {Fri, 23 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icassp/WangXYWQ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icc/RahmanBOM23,
author = {Sawsan Abdul Rahman and
Ouns Bouachir and
Safa Otoum and
Azzam Mourad},
title = {Towards Boosting Federated Learning Convergence: {A} Computation Offloading
{\&} Clustering Approach},
booktitle = {{IEEE} International Conference on Communications, {ICC} 2023, Rome,
Italy, May 28 - June 1, 2023},
pages = {106--111},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/ICC45041.2023.10279581},
doi = {10.1109/ICC45041.2023.10279581},
timestamp = {Thu, 02 Nov 2023 17:09:41 +0100},
biburl = {https://dblp.org/rec/conf/icc/RahmanBOM23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iciap/MadniUF23,
author = {Hussain Ahmad Madni and
Rao Muhammad Umer and
Gian Luca Foresti},
editor = {Gian Luca Foresti and
Andrea Fusiello and
Edwin R. Hancock},
title = {Federated Learning for Data and Model Heterogeneity in Medical Imaging},
booktitle = {Image Analysis and Processing - {ICIAP} 2023 Workshops - Udine, Italy,
September 11-15, 2023, Proceedings, Part {II}},
series = {Lecture Notes in Computer Science},
volume = {14366},
pages = {167--178},
publisher = {Springer},
year = {2023},
url = {https://doi.org/10.1007/978-3-031-51026-7\_15},
doi = {10.1007/978-3-031-51026-7\_15},
timestamp = {Tue, 13 Feb 2024 21:48:08 +0100},
biburl = {https://dblp.org/rec/conf/iciap/MadniUF23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/VeroBDV23,
author = {Mark Vero and
Mislav Balunovic and
Dimitar Iliev Dimitrov and
Martin T. Vechev},
editor = {Andreas Krause and
Emma Brunskill and
Kyunghyun Cho and
Barbara Engelhardt and
Sivan Sabato and
Jonathan Scarlett},
title = {TabLeak: Tabular Data Leakage in Federated Learning},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {35051--35083},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/vero23a.html},
timestamp = {Mon, 28 Aug 2023 17:23:08 +0200},
biburl = {https://dblp.org/rec/conf/icml/VeroBDV23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icncc/DengZL23,
author = {Bobin Deng and
Xinyue Zhang and
Dan Chia{-}Tien Lo},
title = {Serverless-DFS: Serverless Federated Learning with Dynamic Forest
Strategy},
booktitle = {Proceedings of the 12th International Conference on Networks, Communication
and Computing, {ICNCC} 2023, Osaka, Japan, December 15-17, 2023},
pages = {168--174},
publisher = {{ACM}},
year = {2023},
url = {https://doi.org/10.1145/3638837.3638865},
doi = {10.1145/3638837.3638865},
timestamp = {Wed, 15 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icncc/DengZL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icpads/LiZXB23,
author = {Junyan Li and
Xuyun Zhang and
Haolong Xiang and
Amin Beheshti},
title = {Federated Anomaly Detection with Isolation Forest for IoT Network
Traffics},
booktitle = {29th {IEEE} International Conference on Parallel and Distributed Systems,
{ICPADS} 2023, Ocean Flower Island, China, December 17-21, 2023},
pages = {2622--2629},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/ICPADS60453.2023.00348},
doi = {10.1109/ICPADS60453.2023.00348},
timestamp = {Sun, 14 Apr 2024 20:48:59 +0200},
biburl = {https://dblp.org/rec/conf/icpads/LiZXB23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ijcnn/ArchettiM23,
author = {Alberto Archetti and
Matteo Matteucci},
title = {Federated Survival Forests},
booktitle = {International Joint Conference on Neural Networks, {IJCNN} 2023, Gold
Coast, Australia, June 18-23, 2023},
pages = {1--9},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/IJCNN54540.2023.10190999},
doi = {10.1109/IJCNN54540.2023.10190999},
timestamp = {Wed, 09 Aug 2023 16:25:09 +0200},
biburl = {https://dblp.org/rec/conf/ijcnn/ArchettiM23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iotais/PurcellNLZSM23,
author = {Richard Purcell and
Kshirasagar Naik and
Chung{-}Horng Lung and
Marzia Zaman and
Srinivas Sampalli and
Abdul Mutakabbir},
title = {A Framework Using Federated Learning for IoT-Based Forest Fire Prediction},
booktitle = {{IEEE} International Conference on Internet of Things and Intelligence
Systems, IoTaIS 2023, Bali, Indonesia, November 28-30, 2023},
pages = {133--139},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/IoTaIS60147.2023.10346044},
doi = {10.1109/IOTAIS60147.2023.10346044},
timestamp = {Fri, 09 Feb 2024 20:38:53 +0100},
biburl = {https://dblp.org/rec/conf/iotais/PurcellNLZSM23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/mlsys/LiWCHYFH23,
author = {Qinbin Li and
Zhaomin Wu and
Yanzheng Cai and
Yuxuan Han and
Ching Man Yung and
Tianyuan Fu and
Bingsheng He},
editor = {Dawn Song and
Michael Carbin and
Tianqi Chen},
title = {FedTree: {A} Federated Learning System For Trees},
booktitle = {Proceedings of the Sixth Conference on Machine Learning and Systems,
MLSys 2023, Miami, FL, USA, June 4-8, 2023},
publisher = {mlsys.org},
year = {2023},
url = {https://proceedings.mlsys.org/paper\_files/paper/2023/hash/3430e7055936cb8e26451ed49fce84a6-Abstract-mlsys2023.html},
timestamp = {Fri, 28 Jun 2024 10:41:31 +0200},
biburl = {https://dblp.org/rec/conf/mlsys/LiWCHYFH23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/mmsp/GkillasAL23,
author = {Alexandros Gkillas and
Christos Anagnostopoulos and
Aris S. Lalos},
title = {Deep Federated Unrolling for Boosting Low-Resolution Lidar-Based {SLAM}
Solutions},
booktitle = {25th {IEEE} International Workshop on Multimedia Signal Processing,
{MMSP} 2023, Poitiers, France, September 27-29, 2023},
pages = {1},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/MMSP59012.2023.10337642},
doi = {10.1109/MMSP59012.2023.10337642},
timestamp = {Wed, 03 Jan 2024 08:34:32 +0100},
biburl = {https://dblp.org/rec/conf/mmsp/GkillasAL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sebd/EspositoPA23,
author = {Roberto Esposito and
Mirko Polato and
Marco Aldinucci},
editor = {Diego Calvanese and
Claudia Diamantini and
Guglielmo Faggioli and
Nicola Ferro and
Stefano Marchesin and
Gianmaria Silvello and
Letizia Tanca},
title = {Boosting Methods for Federated Learning},
booktitle = {Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano
Terme, Italy, July 2nd to 5th, 2023},
series = {{CEUR} Workshop Proceedings},
volume = {3478},
pages = {439--448},
publisher = {CEUR-WS.org},
year = {2023},
url = {https://ceur-ws.org/Vol-3478/paper48.pdf},
timestamp = {Wed, 13 Sep 2023 16:08:43 +0200},
biburl = {https://dblp.org/rec/conf/sebd/EspositoPA23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/seke/QianXL23,
author = {Chen Qian and
Hui Xiong and
Jiyun Li},
editor = {Shi{-}Kuo Chang},
title = {FeDeFo: {A} Personalized Federated Deep Forest Framework for Alzheimer's
Disease Diagnosis},
booktitle = {The 35th International Conference on Software Engineering and Knowledge
Engineering, {SEKE} 2023, {KSIR} Virtual Conference Center, USA, July
1-10, 2023},
pages = {572--577},
publisher = {{KSI} Research Inc.},
year = {2023},
url = {https://doi.org/10.18293/SEKE2023-013},
doi = {10.18293/SEKE2023-013},
timestamp = {Wed, 06 Sep 2023 16:44:18 +0200},
biburl = {https://dblp.org/rec/conf/seke/QianXL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sisy/StanoDHKKT23,
author = {Michal Stano and
Stefan Dlugolinsky and
Ladislav Hluch{\'{y}} and
Marcel Kvassay and
Peter Krammer and
Viet D. Tran},
title = {Classification of Tree Species by Federated Learning},
booktitle = {21st {IEEE} Jubilee International Symposium on Intelligent Systems
and Informatics, {SISY} 2023, Pula, Croatia, September 21-23, 2023},
pages = {1--6},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/SISY60376.2023.10417957},
doi = {10.1109/SISY60376.2023.10417957},
timestamp = {Thu, 29 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/sisy/StanoDHKKT23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/trustcom/GaoFLLY23,
author = {Xinwen Gao and
Shaojing Fu and
Lin Liu and
Yuchuan Luo and
Luming Yang},
editor = {Jia Hu and
Geyong Min and
Guojun Wang and
Nektarios Georgalas},
title = {EzBoost: Fast And Secure Vertical Federated Tree Boosting Framework
via EzPC},
booktitle = {22nd {IEEE} International Conference on Trust, Security and Privacy
in Computing and Communications, TrustCom 2024, Exeter, UK, November
1-3, 2023},
pages = {28--37},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/TrustCom60117.2023.00027},
doi = {10.1109/TRUSTCOM60117.2023.00027},
timestamp = {Fri, 19 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/trustcom/GaoFLLY23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/wirtschaftsinformatik/BodynekLTS23,
author = {Mattis Bodynek and
Florian Leiser and
Scott Thiebes and
Ali Sunyaev},
title = {Applying Random Forests in Federated Learning: {A} Synthesis of Aggregation
Techniques},
booktitle = {Digital Responsibility: Social, Ethical, Ecological Implications of
IS, 18. Internationale Tagung Wirtschaftsinformatik {(WI} 2023), September
18-21, 2023, Paderborn, Germany},
pages = {46},
publisher = {AISeL},
year = {2023},
url = {https://aisel.aisnet.org/wi2023/46},
timestamp = {Fri, 03 Nov 2023 15:25:54 +0100},
biburl = {https://dblp.org/rec/conf/wirtschaftsinformatik/BodynekLTS23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-01706,
author = {Zilong Zhao and
Han Wu and
Aad van Moorsel and
Lydia Y. Chen},
title = {{GTV:} Generating Tabular Data via Vertical Federated Learning},
journal = {CoRR},
volume = {abs/2302.01706},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2302.01706},
doi = {10.48550/ARXIV.2302.01706},
eprinttype = {arXiv},
eprint = {2302.01706},
timestamp = {Fri, 10 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2302-01706.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-02807,
author = {Alberto Archetti and
Matteo Matteucci},
title = {Federated Survival Forests},
journal = {CoRR},
volume = {abs/2302.02807},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2302.02807},
doi = {10.48550/ARXIV.2302.02807},
eprinttype = {arXiv},
eprint = {2302.02807},
timestamp = {Fri, 10 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2302-02807.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2304-07537,
author = {Chenyang Ma and
Xinchi Qiu and
Daniel J. Beutel and
Nicholas D. Lane},
title = {Gradient-less Federated Gradient Boosting Trees with Learnable Learning
Rates},
journal = {CoRR},
volume = {abs/2304.07537},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2304.07537},
doi = {10.48550/ARXIV.2304.07537},
eprinttype = {arXiv},
eprint = {2304.07537},
timestamp = {Fri, 21 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2304-07537.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2305-11654,
author = {Rui Song and
Lingjuan Lyu and
Wei Jiang and
Andreas Festag and
Alois C. Knoll},
title = {V2X-Boosted Federated Learning for Cooperative Intelligent Transportation
Systems with Contextual Client Selection},
journal = {CoRR},
volume = {abs/2305.11654},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2305.11654},
doi = {10.48550/ARXIV.2305.11654},
eprinttype = {arXiv},
eprint = {2305.11654},
timestamp = {Tue, 19 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2305-11654.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2305-12652,
author = {Yifeng Zheng and
Shuangqing Xu and
Songlei Wang and
Yansong Gao and
Zhongyun Hua},
title = {Privet: {A} Privacy-Preserving Vertical Federated Learning Service
for Gradient Boosted Decision Tables},
journal = {CoRR},
volume = {abs/2305.12652},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2305.12652},
doi = {10.48550/ARXIV.2305.12652},
eprinttype = {arXiv},
eprint = {2305.12652},
timestamp = {Fri, 26 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2305-12652.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2305-19290,
author = {Yazan Obeidi},
title = {Global Layers: Non-IID Tabular Federated Learning},
journal = {CoRR},
volume = {abs/2305.19290},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2305.19290},
doi = {10.48550/ARXIV.2305.19290},
eprinttype = {arXiv},
eprint = {2305.19290},
timestamp = {Wed, 07 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2305-19290.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2307-10318,
author = {Hideaki Takahashi and
Jingjing Liu and
Yang Liu},
title = {Eliminating Label Leakage in Tree-Based Vertical Federated Learning},
journal = {CoRR},
volume = {abs/2307.10318},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2307.10318},
doi = {10.48550/ARXIV.2307.10318},
eprinttype = {arXiv},
eprint = {2307.10318},
timestamp = {Tue, 12 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2307-10318.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2307-10575,
author = {Yu Qiao and
Huy Q. Le and
Choong Seon Hong},
title = {Boosting Federated Learning Convergence with Prototype Regularization},
journal = {CoRR},
volume = {abs/2307.10575},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2307.10575},
doi = {10.48550/ARXIV.2307.10575},
eprinttype = {arXiv},
eprint = {2307.10575},
timestamp = {Wed, 15 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2307-10575.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2308-00155,
author = {Hussain Ahmad Madni and
Rao Muhammad Umer and
Gian Luca Foresti},
title = {Federated Learning for Data and Model Heterogeneity in Medical Imaging},
journal = {CoRR},
volume = {abs/2308.00155},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2308.00155},
doi = {10.48550/ARXIV.2308.00155},
eprinttype = {arXiv},
eprint = {2308.00155},
timestamp = {Mon, 21 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2308-00155.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2308-02382,
author = {Alberto Archetti and
Francesca Ieva and
Matteo Matteucci},
title = {Scaling Survival Analysis in Healthcare with Federated Survival Forests:
{A} Comparative Study on Heart Failure and Breast Cancer Genomics},
journal = {CoRR},
volume = {abs/2308.02382},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2308.02382},
doi = {10.48550/ARXIV.2308.02382},
eprinttype = {arXiv},
eprint = {2308.02382},
timestamp = {Mon, 21 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2308-02382.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2308-09948,
author = {Qianyuan Zheng and
Hao Chen and
Zhan Ma},
title = {Bamboo: Boosting Training Efficiency for Real-Time Video Streaming
via Online Grouped Federated Transfer Learning},
journal = {CoRR},
volume = {abs/2308.09948},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2308.09948},
doi = {10.48550/ARXIV.2308.09948},
eprinttype = {arXiv},
eprint = {2308.09948},
timestamp = {Mon, 04 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2308-09948.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-08147,
author = {Shuaijun Chen and
Omid Tavallaie and
Michael Henri Hambali and
Seid Miad Zandavi and
Hamed Haddadi and
Song Guo and
Albert Y. Zomaya},
title = {Boosting Client Selection of Federated Learning under Device and Data
Heterogeneity},
journal = {CoRR},
volume = {abs/2310.08147},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2310.08147},
doi = {10.48550/ARXIV.2310.08147},
eprinttype = {arXiv},
eprint = {2310.08147},
timestamp = {Tue, 24 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2310-08147.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-11865,
author = {Qinbin Li and
Chulin Xie and
Xiaojun Xu and
Xiaoyuan Liu and
Ce Zhang and
Bo Li and
Bingsheng He and
Dawn Song},
title = {Effective and Efficient Federated Tree Learning on Hybrid Data},
journal = {CoRR},
volume = {abs/2310.11865},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2310.11865},
doi = {10.48550/ARXIV.2310.11865},
eprinttype = {arXiv},
eprint = {2310.11865},
timestamp = {Fri, 27 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2310-11865.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2311-13174,
author = {Jian Zhang and
Bowen Li and
Jie Li and
Chentao Wu},
title = {SecureCut: Federated Gradient Boosting Decision Trees with Efficient
Machine Unlearning},
journal = {CoRR},
volume = {abs/2311.13174},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2311.13174},
doi = {10.48550/ARXIV.2311.13174},
eprinttype = {arXiv},
eprint = {2311.13174},
timestamp = {Thu, 30 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2311-13174.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2312-09547,
author = {Cheng{-}Wei Ching and
Liting Hu},
title = {Decaffe: {DHT} Tree-Based Online Federated Fake News Detection},
journal = {CoRR},
volume = {abs/2312.09547},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2312.09547},
doi = {10.48550/ARXIV.2312.09547},
eprinttype = {arXiv},
eprint = {2312.09547},
timestamp = {Tue, 09 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2312-09547.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2312-17159,
author = {Ramona Ghilea and
Islem Rekik},
title = {Replica Tree-based Federated Learning using Limited Data},
journal = {CoRR},
volume = {abs/2312.17159},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2312.17159},
doi = {10.48550/ARXIV.2312.17159},
eprinttype = {arXiv},
eprint = {2312.17159},
timestamp = {Fri, 19 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2312-17159.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/access/AliyuEMKL22,
author = {Ibrahim Aliyu and
S{\'{e}}linde van Engelenburg and
Muhammed Bashir Mu'azu and
Jinsul Kim and
Chang Gyoon Lim},
title = {Statistical Detection of Adversarial Examples in Blockchain-Based
Federated Forest In-Vehicle Network Intrusion Detection Systems},
journal = {{IEEE} Access},
volume = {10},
pages = {109366--109384},
year = {2022},
url = {https://doi.org/10.1109/ACCESS.2022.3212412},
doi = {10.1109/ACCESS.2022.3212412},
timestamp = {Sun, 13 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/access/AliyuEMKL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/access/GencturkSC22,
author = {Mert Gen{\c{c}}t{\"{u}}rk and
Ali Anil Sinaci and
Nihan Kesim Cicekli},
title = {{BOFRF:} {A} Novel Boosting-Based Federated Random Forest Algorithm
on Horizontally Partitioned Data},
journal = {{IEEE} Access},
volume = {10},
pages = {89835--89851},
year = {2022},
url = {https://doi.org/10.1109/ACCESS.2022.3202008},
doi = {10.1109/ACCESS.2022.3202008},
timestamp = {Mon, 26 Sep 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/access/GencturkSC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/access/YamamotoOW22,
author = {Fuki Yamamoto and
Seiichi Ozawa and
Lihua Wang},
title = {eFL-Boost: Efficient Federated Learning for Gradient Boosting Decision
Trees},
journal = {{IEEE} Access},
volume = {10},
pages = {43954--43963},
year = {2022},
url = {https://doi.org/10.1109/ACCESS.2022.3169502},
doi = {10.1109/ACCESS.2022.3169502},
timestamp = {Wed, 18 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/access/YamamotoOW22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/bioinformatics/HauschildLMFZHB22,
author = {Anne{-}Christin Hauschild and
Marta Lemanczyk and
Julian O. Matschinske and
Tobias Frisch and
Olga I. Zolotareva and
Andreas Holzinger and
Jan Baumbach and
Dominik Heider},
title = {Federated Random Forests can improve local performance of predictive
models for various healthcare applications},
journal = {Bioinform.},
volume = {38},
number = {8},
pages = {2278--2286},
year = {2022},
url = {https://doi.org/10.1093/bioinformatics/btac065},
doi = {10.1093/BIOINFORMATICS/BTAC065},
timestamp = {Sun, 12 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/bioinformatics/HauschildLMFZHB22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijbic/TianTWZXC22,
author = {Jiao Tian and
Pei{-}Wei Tsai and
Feiran Wang and
Kai Zhang and
Hongwang Xiao and
Jinjun Chen},
title = {An optional splitting extraction based gain-AUPRC balanced strategy
in federated XGBoost for mitigating imbalanced credit card fraud detection},
journal = {Int. J. Bio Inspired Comput.},
volume = {20},
number = {2},
pages = {82--93},
year = {2022},
url = {https://doi.org/10.1504/IJBIC.2022.10051791},
doi = {10.1504/IJBIC.2022.10051791},
timestamp = {Mon, 21 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/ijbic/TianTWZXC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/iotj/HouSFY22,
author = {Jinpeng Hou and
Mang Su and
Anmin Fu and
Yan Yu},
title = {Verifiable Privacy-Preserving Scheme Based on Vertical Federated Random
Forest},
journal = {{IEEE} Internet Things J.},
volume = {9},
number = {22},
pages = {22158--22172},
year = {2022},
url = {https://doi.org/10.1109/JIOT.2021.3090951},
doi = {10.1109/JIOT.2021.3090951},
timestamp = {Sun, 13 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/iotj/HouSFY22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/pvldb/LiHL0PH0Q22,
author = {Xiaochen Li and
Yuke Hu and
Weiran Liu and
Hanwen Feng and
Li Peng and
Yuan Hong and
Kui Ren and
Zhan Qin},
title = {OpBoost: {A} Vertical Federated Tree Boosting Framework Based on Order-Preserving
Desensitization},
journal = {Proc. {VLDB} Endow.},
volume = {16},
number = {2},
pages = {202--215},
year = {2022},
url = {https://www.vldb.org/pvldb/vol16/p202-li.pdf},
doi = {10.14778/3565816.3565823},
timestamp = {Sat, 28 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/pvldb/LiHL0PH0Q22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tbd/LiuLLLMZZ22,
author = {Yang Liu and
Yingting Liu and
Zhijie Liu and
Yuxuan Liang and
Chuishi Meng and
Junbo Zhang and
Yu Zheng},
title = {Federated Forest},
journal = {{IEEE} Trans. Big Data},
volume = {8},
number = {3},
pages = {843--854},
year = {2022},
url = {https://doi.org/10.1109/TBDATA.2020.2992755},
doi = {10.1109/TBDATA.2020.2992755},
timestamp = {Thu, 02 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tbd/LiuLLLMZZ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tdsc/LiuMYLMR22,
author = {Yang Liu and
Zhuo Ma and
Yilong Yang and
Ximeng Liu and
Jianfeng Ma and
Kui Ren},
title = {RevFRF: Enabling Cross-Domain Random Forest Training With Revocable
Federated Learning},
journal = {{IEEE} Trans. Dependable Secur. Comput.},
volume = {19},
number = {6},
pages = {3671--3685},
year = {2022},
url = {https://doi.org/10.1109/TDSC.2021.3104842},
doi = {10.1109/TDSC.2021.3104842},
timestamp = {Mon, 05 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tdsc/LiuMYLMR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tist/XieLLCS22,
author = {Lunchen Xie and
Jiaqi Liu and
Songtao Lu and
Tsung{-}Hui Chang and
Qingjiang Shi},
title = {An Efficient Learning Framework for Federated XGBoost Using Secret
Sharing and Distributed Optimization},
journal = {{ACM} Trans. Intell. Syst. Technol.},
volume = {13},
number = {5},
pages = {77:1--77:28},
year = {2022},
url = {https://doi.org/10.1145/3523061},
doi = {10.1145/3523061},
timestamp = {Mon, 05 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tist/XieLLCS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShenHKK22,
author = {Zebang Shen and
Hamed Hassani and
Satyen Kale and
Amin Karbasi},
editor = {Gustau Camps{-}Valls and
Francisco J. R. Ruiz and
Isabel Valera},
title = {Federated Functional Gradient Boosting},
booktitle = {International Conference on Artificial Intelligence and Statistics,
{AISTATS} 2022, 28-30 March 2022, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {151},
pages = {7814--7840},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v151/shen22a.html},
timestamp = {Sat, 30 Sep 2023 09:34:08 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShenHKK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/amia/ManniBJMRB22,
author = {Francesca Manni and
Aleksandr Bukharev and
Anshul Jain and
Shiva Moorthy and
Asif Rahman and
Anca Bucur},
title = {Neural gradient boosting in federated learning for hemodynamic instability
prediction: towards a distributed and scalable deep learning-based
solution},
booktitle = {{AMIA} 2022, American Medical Informatics Association Annual Symposium,
Washington, DC, USA, November 5-9, 2022},
publisher = {{AMIA}},
year = {2022},
url = {https://knowledge.amia.org/76677-amia-1.4637602/f006-1.4642154/f006-1.4642155/917-1.4642324/604-1.4642321},
timestamp = {Wed, 17 Apr 2024 11:46:45 +0200},
biburl = {https://dblp.org/rec/conf/amia/ManniBJMRB22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ccs/MaddockC0MJ22,
author = {Samuel Maddock and
Graham Cormode and
Tianhao Wang and
Carsten Maple and
Somesh Jha},
editor = {Heng Yin and
Angelos Stavrou and
Cas Cremers and
Elaine Shi},
title = {Federated Boosted Decision Trees with Differential Privacy},
booktitle = {Proceedings of the 2022 {ACM} {SIGSAC} Conference on Computer and
Communications Security, {CCS} 2022, Los Angeles, CA, USA, November
7-11, 2022},
pages = {2249--2263},
publisher = {{ACM}},
year = {2022},
url = {https://doi.org/10.1145/3548606.3560687},
doi = {10.1145/3548606.3560687},
timestamp = {Sat, 17 Dec 2022 01:15:29 +0100},
biburl = {https://dblp.org/rec/conf/ccs/MaddockC0MJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/eenergy/Chang0Z22,
author = {Xiaomin Chang and
Wei Li and
Albert Y. Zomaya},
editor = {Sebastian Lehnhoff and
David E. Irwin and
Dan Wang},
title = {Fed-GBM: a cost-effective federated gradient boosting tree for non-intrusive
load monitoring},
booktitle = {e-Energy '22: The Thirteenth {ACM} International Conference on Future
Energy Systems, Virtual Event, 28 June 2022 - 1 July 2022},
pages = {63--75},
publisher = {{ACM}},
year = {2022},
url = {https://doi.org/10.1145/3538637.3538840},
doi = {10.1145/3538637.3538840},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/eenergy/Chang0Z22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iccp2/LindskogP22,
author = {William Lindskog and
Christian Prehofer},
title = {Federated Learning for Tabular Data using TabNet: {A} Vehicular Use-Case},
booktitle = {18th {IEEE} International Conference on Intelligent Computer Communication
and Processing, {ICCP} 2022, Cluj-Napoca, Romania, September 22-24,
2022},
pages = {105--111},
publisher = {{IEEE}},
year = {2022},
url = {https://doi.org/10.1109/ICCP56966.2022.10053975},
doi = {10.1109/ICCP56966.2022.10053975},
timestamp = {Mon, 06 Mar 2023 11:35:12 +0100},
biburl = {https://dblp.org/rec/conf/iccp2/LindskogP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icnp/SuZC22,
author = {Dongyuan Su and
Yipeng Zhou and
Laizhong Cui},
title = {Boost Decentralized Federated Learning in Vehicular Networks by Diversifying
Data Sources},
booktitle = {30th {IEEE} International Conference on Network Protocols, {ICNP}
2022, Lexington, KY, USA, October 30 - Nov. 2, 2022},
pages = {1--11},
publisher = {{IEEE}},
year = {2022},
url = {https://doi.org/10.1109/ICNP55882.2022.9940426},
doi = {10.1109/ICNP55882.2022.9940426},
timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icnp/SuZC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icpads/WangZF22,
author = {Tao Wang and
Bo Zhao and
Liming Fang},
title = {FLForest: Byzantine-robust Federated Learning through Isolated Forest},
booktitle = {28th {IEEE} International Conference on Parallel and Distributed Systems,
{ICPADS} 2022, Nanjing, China, January 10-12, 2023},
pages = {296--303},
publisher = {{IEEE}},
year = {2022},
url = {https://doi.org/10.1109/ICPADS56603.2022.00046},
doi = {10.1109/ICPADS56603.2022.00046},
timestamp = {Thu, 06 Apr 2023 14:52:40 +0200},
biburl = {https://dblp.org/rec/conf/icpads/WangZF22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ifip12/MarkovicLBP22,
author = {Tijana Markovic and
Miguel Leon and
David Buffoni and
Sasikumar Punnekkat},
editor = {Ilias Maglogiannis and
Lazaros Iliadis and
John MacIntyre and
Paulo Cortez},
title = {Random Forest Based on Federated Learning for Intrusion Detection},
booktitle = {Artificial Intelligence Applications and Innovations - 18th {IFIP}
{WG} 12.5 International Conference, {AIAI} 2022, Hersonissos, Crete,
Greece, June 17-20, 2022, Proceedings, Part {I}},
series = {{IFIP} Advances in Information and Communication Technology},
volume = {646},
pages = {132--144},
publisher = {Springer},
year = {2022},
url = {https://doi.org/10.1007/978-3-031-08333-4\_11},
doi = {10.1007/978-3-031-08333-4\_11},
timestamp = {Wed, 05 Oct 2022 21:11:03 +0200},
biburl = {https://dblp.org/rec/conf/ifip12/MarkovicLBP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ijcnn/PolatoEA22,
author = {Mirko Polato and
Roberto Esposito and
Marco Aldinucci},
title = {Boosting the Federation: Cross-Silo Federated Learning without Gradient
Descent},
booktitle = {International Joint Conference on Neural Networks, {IJCNN} 2022, Padua,
Italy, July 18-23, 2022},
pages = {1--10},
publisher = {{IEEE}},
year = {2022},
url = {https://doi.org/10.1109/IJCNN55064.2022.9892284},
doi = {10.1109/IJCNN55064.2022.9892284},
timestamp = {Mon, 26 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/ijcnn/PolatoEA22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/infocom/RanjanCGD22,
author = {Priyesh Ranjan and
Federico Cor{\`{o}} and
Ashish Gupta and
Sajal K. Das},
title = {Leveraging Spanning Tree to Detect Colluding Attackers in Federated
Learning},
booktitle = {{IEEE} {INFOCOM} 2022 - {IEEE} Conference on Computer Communications
Workshops, {INFOCOM} 2022 - Workshops, New York, NY, USA, May 2-5,
2022},
pages = {1--2},
publisher = {{IEEE}},
year = {2022},
url = {https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798077},
doi = {10.1109/INFOCOMWKSHPS54753.2022.9798077},
timestamp = {Tue, 28 Jun 2022 08:49:15 +0200},
biburl = {https://dblp.org/rec/conf/infocom/RanjanCGD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ispa/TianCZXYT22,
author = {Jiao Tian and
Xinyi Cai and
Kai Zhang and
Hongwang Xiao and
Ke Yu and
Pei{-}Wei Tsai},
title = {Sliding Focal Loss for Class Imbalance Classification in Federated
XGBoost},
booktitle = {{IEEE} Intl Conf on Parallel {\&} Distributed Processing with
Applications, Big Data {\&} Cloud Computing, Sustainable Computing
{\&} Communications, Social Computing {\&} Networking, ISPA/BDCloud/SocialCom/SustainCom
2022, Melbourne, Australia, December 17-19, 2022},
pages = {515--522},
publisher = {{IEEE}},
year = {2022},
url = {https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom57177.2022.00072},
doi = {10.1109/ISPA-BDCLOUD-SOCIALCOM-SUSTAINCOM57177.2022.00072},
timestamp = {Wed, 29 Mar 2023 18:28:03 +0200},
biburl = {https://dblp.org/rec/conf/ispa/TianCZXYT22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/issre/Wu0CM22,
author = {Han Wu and
Zilong Zhao and
Lydia Y. Chen and
Aad van Moorsel},
title = {Federated Learning for Tabular Data: Exploring Potential Risk to Privacy},
booktitle = {{IEEE} 33rd International Symposium on Software Reliability Engineering,
{ISSRE} 2022, Charlotte, NC, USA, October 31 - Nov. 3, 2022},
pages = {193--204},
publisher = {{IEEE}},
year = {2022},
url = {https://doi.org/10.1109/ISSRE55969.2022.00028},
doi = {10.1109/ISSRE55969.2022.00028},
timestamp = {Wed, 11 Jan 2023 13:11:43 +0100},
biburl = {https://dblp.org/rec/conf/issre/Wu0CM22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sac/KallooriK22,
author = {Saikishore Kalloori and
Severin Klingler},
editor = {Jiman Hong and
Miroslav Bures and
Juw Won Park and
Tom{\'{a}}s Cern{\'{y}}},
title = {Cross-silo federated learning based decision trees},
booktitle = {{SAC} '22: The 37th {ACM/SIGAPP} Symposium on Applied Computing, Virtual
Event, April 25 - 29, 2022},
pages = {1117--1124},
publisher = {{ACM}},
year = {2022},
url = {https://doi.org/10.1145/3477314.3507149},
doi = {10.1145/3477314.3507149},
timestamp = {Wed, 11 May 2022 08:59:01 +0200},
biburl = {https://dblp.org/rec/conf/sac/KallooriK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@incollection{DBLP:books/sp/22/OngBZ22,
author = {Yuya Jeremy Ong and
Nathalie Baracaldo and
Yi Zhou},
editor = {Heiko Ludwig and
Nathalie Baracaldo},
title = {Tree-Based Models for Federated Learning Systems},
booktitle = {Federated Learning - {A} Comprehensive Overview of Methods and Applications},
pages = {27--52},
publisher = {Springer},
year = {2022},
url = {https://doi.org/10.1007/978-3-030-96896-0\_2},
doi = {10.1007/978-3-030-96896-0\_2},
timestamp = {Wed, 21 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/books/sp/22/OngBZ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2201-02783,
author = {Haizhou Liu and
Xuan Zhang and
Xinwei Shen and
Hongbin Sun},
title = {A Fair and Efficient Hybrid Federated Learning Framework based on
XGBoost for Distributed Power Prediction},
journal = {CoRR},
volume = {abs/2201.02783},
year = {2022},
url = {https://arxiv.org/abs/2201.02783},
eprinttype = {arXiv},
eprint = {2201.02783},
timestamp = {Sun, 12 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-02783.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2201-10761,
author = {Houpu Yao and
Jiazhou Wang and
Peng Dai and
Liefeng Bo and
Yanqing Chen},
title = {An Efficient and Robust System for Vertically Federated Random Forest},
journal = {CoRR},
volume = {abs/2201.10761},
year = {2022},
url = {https://arxiv.org/abs/2201.10761},
eprinttype = {arXiv},
eprint = {2201.10761},
timestamp = {Tue, 01 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-10761.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2204-00976,
author = {Yujin Han and
Pan Du and
Kai Yang},
title = {FedGBF: An efficient vertical federated learning framework via gradient
boosting and bagging},
journal = {CoRR},
volume = {abs/2204.00976},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2204.00976},
doi = {10.48550/ARXIV.2204.00976},
eprinttype = {arXiv},
eprint = {2204.00976},
timestamp = {Mon, 01 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2204-00976.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2207-04620,
author = {Guowen Xu and
Xingshuo Han and
Shengmin Xu and
Tianwei Zhang and
Hongwei Li and
Xinyi Huang and
Robert H. Deng},
title = {Hercules: Boosting the Performance of Privacy-preserving Federated
Learning},
journal = {CoRR},
volume = {abs/2207.04620},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2207.04620},
doi = {10.48550/ARXIV.2207.04620},
eprinttype = {arXiv},
eprint = {2207.04620},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2207-04620.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2207-04843,
author = {Ibrahim Aliyu and
S{\'{e}}linde van Engelenburg and
Muhammed Bashir Mu'azu and
Jinsul Kim and
Chang Gyoon Lim},
title = {Statistical Detection of Adversarial examples in Blockchain-based
Federated Forest In-vehicle Network Intrusion Detection Systems},
journal = {CoRR},
volume = {abs/2207.04843},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2207.04843},
doi = {10.48550/ARXIV.2207.04843},
eprinttype = {arXiv},
eprint = {2207.04843},
timestamp = {Wed, 13 Jul 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2207-04843.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2209-01340,
author = {Katelinh Jones and
Yuya Jeremy Ong and
Yi Zhou and
Nathalie Baracaldo},
title = {Federated XGBoost on Sample-Wise Non-IID Data},
journal = {CoRR},
volume = {abs/2209.01340},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2209.01340},
doi = {10.48550/ARXIV.2209.01340},
eprinttype = {arXiv},
eprint = {2209.01340},
timestamp = {Mon, 26 Sep 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2209-01340.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2209-01750,
author = {Dongyuan Su and
Yipeng Zhou and
Laizhong Cui},
title = {Boost Decentralized Federated Learning in Vehicular Networks by Diversifying
Data Sources},
journal = {CoRR},
volume = {abs/2209.01750},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2209.01750},
doi = {10.48550/ARXIV.2209.01750},
eprinttype = {arXiv},
eprint = {2209.01750},
timestamp = {Mon, 26 Sep 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2209-01750.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-01318,
author = {Xiaochen Li and
Yuke Hu and
Weiran Liu and
Hanwen Feng and
Li Peng and
Yuan Hong and
Kui Ren and
Zhan Qin},
title = {OpBoost: {A} Vertical Federated Tree Boosting Framework Based on Order-Preserving
Desensitization},
journal = {CoRR},
volume = {abs/2210.01318},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2210.01318},
doi = {10.48550/ARXIV.2210.01318},
eprinttype = {arXiv},
eprint = {2210.01318},
timestamp = {Fri, 07 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2210-01318.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-01785,
author = {Mark Vero and
Mislav Balunovic and
Dimitar I. Dimitrov and
Martin T. Vechev},
title = {Data Leakage in Tabular Federated Learning},
journal = {CoRR},
volume = {abs/2210.01785},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2210.01785},
doi = {10.48550/ARXIV.2210.01785},
eprinttype = {arXiv},
eprint = {2210.01785},
timestamp = {Fri, 07 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2210-01785.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-02910,
author = {Samuel Maddock and
Graham Cormode and
Tianhao Wang and
Carsten Maple and
Somesh Jha},
title = {Federated Boosted Decision Trees with Differential Privacy},
journal = {CoRR},
volume = {abs/2210.02910},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2210.02910},
doi = {10.48550/ARXIV.2210.02910},
eprinttype = {arXiv},
eprint = {2210.02910},
timestamp = {Fri, 07 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2210-02910.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-06856,
author = {Han Wu and
Zilong Zhao and
Lydia Y. Chen and
Aad van Moorsel},
title = {Federated Learning for Tabular Data: Exploring Potential Risk to Privacy},
journal = {CoRR},
volume = {abs/2210.06856},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2210.06856},
doi = {10.48550/ARXIV.2210.06856},
eprinttype = {arXiv},
eprint = {2210.06856},
timestamp = {Tue, 18 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2210-06856.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2211-13116,
author = {Shaoming Duan and
Chuanyi Liu and
Peiyi Han and
Tianyu He and
Yifeng Xu and
Qiyuan Deng},
title = {Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data},
journal = {CoRR},
volume = {abs/2211.13116},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2211.13116},
doi = {10.48550/ARXIV.2211.13116},
eprinttype = {arXiv},
eprint = {2211.13116},
timestamp = {Tue, 29 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2211-13116.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2211-14439,
author = {Xiangping Kang and
Guoxian Yu and
Jun Wang and
Wei Guo and
Carlotta Domeniconi and
Jinglin Zhang},
title = {Incentive-boosted Federated Crowdsourcing},
journal = {CoRR},
volume = {abs/2211.14439},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2211.14439},
doi = {10.48550/ARXIV.2211.14439},
eprinttype = {arXiv},
eprint = {2211.14439},
timestamp = {Thu, 26 Jan 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2211-14439.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/access/AliyuFEKL21,
author = {Ibrahim Aliyu and
Marco Carlo Feliciano and
S{\'{e}}linde van Engelenburg and
Dong Ok Kim and
Chang Gyoon Lim},
title = {A Blockchain-Based Federated Forest for SDN-Enabled In-Vehicle Network
Intrusion Detection System},
journal = {{IEEE} Access},
volume = {9},
pages = {102593--102608},
year = {2021},
url = {https://doi.org/10.1109/ACCESS.2021.3094365},
doi = {10.1109/ACCESS.2021.3094365},
timestamp = {Sat, 09 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/access/AliyuFEKL21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/phycomm/LuoCXZ21,
author = {Changyin Luo and
Xuebin Chen and
Jingcheng Xu and
Shufen Zhang},
title = {Research on privacy protection of multi source data based on improved
gbdt federated ensemble method with different metrics},
journal = {Phys. Commun.},
volume = {49},
pages = {101347},
year = {2021},
url = {https://doi.org/10.1016/j.phycom.2021.101347},
doi = {10.1016/J.PHYCOM.2021.101347},
timestamp = {Mon, 28 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/phycomm/LuoCXZ21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tpds/HuangLWHLZ21,
author = {Tiansheng Huang and
Weiwei Lin and
Wentai Wu and
Ligang He and
Keqin Li and
Albert Y. Zomaya},
title = {An Efficiency-Boosting Client Selection Scheme for Federated Learning
With Fairness Guarantee},
journal = {{IEEE} Trans. Parallel Distributed Syst.},
volume = {32},
number = {7},
pages = {1552--1564},
year = {2021},
url = {https://doi.org/10.1109/TPDS.2020.3040887},
doi = {10.1109/TPDS.2020.3040887},
timestamp = {Fri, 09 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tpds/HuangLWHLZ21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/bigdataconf/ChenZGYFW021,
author = {Xiaolin Chen and
Shuai Zhou and
Bei Guan and
Kai Yang and
Hao Fao and
Hu Wang and
Yongji Wang},
editor = {Yixin Chen and
Heiko Ludwig and
Yicheng Tu and
Usama M. Fayyad and
Xingquan Zhu and
Xiaohua Hu and
Suren Byna and
Xiong Liu and
Jianping Zhang and
Shirui Pan and
Vagelis Papalexakis and
Jianwu Wang and
Alfredo Cuzzocrea and
Carlos Ordonez},
title = {Fed-EINI: An Efficient and Interpretable Inference Framework for Decision
Tree Ensembles in Vertical Federated Learning},
booktitle = {2021 {IEEE} International Conference on Big Data (Big Data), Orlando,
FL, USA, December 15-18, 2021},
pages = {1242--1248},
publisher = {{IEEE}},
year = {2021},
url = {https://doi.org/10.1109/BigData52589.2021.9671749},
doi = {10.1109/BIGDATA52589.2021.9671749},
timestamp = {Fri, 13 Jan 2023 17:06:49 +0100},
biburl = {https://dblp.org/rec/conf/bigdataconf/ChenZGYFW021.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/esorics/KwatraT21,
author = {Saloni Kwatra and
Vicen{\c{c}} Torra},
editor = {Joaqu{\'{\i}}n Garc{\'{\i}}a{-}Alfaro and
Jose Luis Mu{\~{n}}oz{-}Tapia and
Guillermo Navarro{-}Arribas and
Miguel Soriano},
title = {A k-Anonymised Federated Learning Framework with Decision Trees},
booktitle = {Data Privacy Management, Cryptocurrencies and Blockchain Technology
- {ESORICS} 2021 International Workshops, {DPM} 2021 and {CBT} 2021,
Darmstadt, Germany, October 8, 2021, Revised Selected Papers},
series = {Lecture Notes in Computer Science},
volume = {13140},
pages = {106--120},
publisher = {Springer},
year = {2021},
url = {https://doi.org/10.1007/978-3-030-93944-1\_7},
doi = {10.1007/978-3-030-93944-1\_7},
timestamp = {Wed, 23 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/esorics/KwatraT21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/euromicro/ZhangBOK21,
author = {Hongyi Zhang and
Jan Bosch and
Helena Holmstr{\"{o}}m Olsson and
Ashok Chaitanya Koppisetty},
editor = {Maria Teresa Baldassarre and
Giuseppe Scanniello and
Amund Skavhaug},
title = {{AF-DNDF:} Asynchronous Federated Learning of Deep Neural Decision
Forests},
booktitle = {47th Euromicro Conference on Software Engineering and Advanced Applications,
{SEAA} 2021, Palermo, Italy, September 1-3, 2021},
pages = {308--315},
publisher = {{IEEE}},
year = {2021},
url = {https://doi.org/10.1109/SEAA53835.2021.00047},
doi = {10.1109/SEAA53835.2021.00047},
timestamp = {Fri, 29 Oct 2021 16:42:35 +0200},
biburl = {https://dblp.org/rec/conf/euromicro/ZhangBOK21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/eurosp/KerkoucheACG21,
author = {Raouf Kerkouche and
Gergely {\'{A}}cs and
Claude Castelluccia and
Pierre Genev{\`{e}}s},
title = {Compression Boosts Differentially Private Federated Learning},
booktitle = {{IEEE} European Symposium on Security and Privacy, EuroS{\&}P
2021, Vienna, Austria, September 6-10, 2021},
pages = {304--318},
publisher = {{IEEE}},
year = {2021},
url = {https://doi.org/10.1109/EuroSP51992.2021.00029},
doi = {10.1109/EUROSP51992.2021.00029},
timestamp = {Thu, 11 Nov 2021 09:11:58 +0100},
biburl = {https://dblp.org/rec/conf/eurosp/KerkoucheACG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iconip/WangOL21,
author = {Feng Wang and
Jinxiang Ou and
Hairong Lv},
editor = {Teddy Mantoro and
Minho Lee and
Media Anugerah Ayu and
Kok Wai Wong and
Achmad Nizar Hidayanto},
title = {Gradient Boosting Forest: a Two-Stage Ensemble Method Enabling Federated
Learning of GBDTs},
booktitle = {Neural Information Processing - 28th International Conference, {ICONIP}
2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part
{II}},
series = {Lecture Notes in Computer Science},
volume = {13109},
pages = {75--86},
publisher = {Springer},
year = {2021},
url = {https://doi.org/10.1007/978-3-030-92270-2\_7},
doi = {10.1007/978-3-030-92270-2\_7},
timestamp = {Thu, 20 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/iconip/WangOL21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sigmod/FuSYJXT021,
author = {Fangcheng Fu and
Yingxia Shao and
Lele Yu and
Jiawei Jiang and
Huanran Xue and
Yangyu Tao and
Bin Cui},
editor = {Guoliang Li and
Zhanhuai Li and
Stratos Idreos and
Divesh Srivastava},
title = {VF\({}^{\mbox{2}}\)Boost: Very Fast Vertical Federated Gradient Boosting
for Cross-Enterprise Learning},
booktitle = {{SIGMOD} '21: International Conference on Management of Data, Virtual
Event, China, June 20-25, 2021},
pages = {563--576},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3448016.3457241},
doi = {10.1145/3448016.3457241},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/sigmod/FuSYJXT021.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2103-06261,
author = {Xiaoqing Tan and
Chung{-}Chou H. Chang and
Lu Tang},
title = {A Tree-based Federated Learning Approach for Personalized Treatment
Effect Estimation from Heterogeneous Data Sources},
journal = {CoRR},
volume = {abs/2103.06261},
year = {2021},
url = {https://arxiv.org/abs/2103.06261},
eprinttype = {arXiv},
eprint = {2103.06261},
timestamp = {Tue, 15 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2103-06261.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2103-06972,
author = {Zebang Shen and
Hamed Hassani and
Satyen Kale and
Amin Karbasi},
title = {Federated Functional Gradient Boosting},
journal = {CoRR},
volume = {abs/2103.06972},
year = {2021},
url = {https://arxiv.org/abs/2103.06972},
eprinttype = {arXiv},
eprint = {2103.06972},
timestamp = {Tue, 23 Mar 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2103-06972.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2105-05717,
author = {Lunchen Xie and
Jiaqi Liu and
Songtao Lu and
Tsung{-}Hui Chang and
Qingjiang Shi},
title = {An Efficient Learning Framework For Federated XGBoost Using Secret
Sharing And Distributed Optimization},
journal = {CoRR},
volume = {abs/2105.05717},
year = {2021},
url = {https://arxiv.org/abs/2105.05717},
eprinttype = {arXiv},
eprint = {2105.05717},
timestamp = {Tue, 18 May 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2105-05717.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2105-09540,
author = {Xiaolin Chen and
Shuai Zhou and
Kai Yang and
Hao Fan and
Zejin Feng and
Zhong Chen and
Hu Wang and
Yongji Wang},
title = {Fed-EINI: An Efficient and Interpretable Inference Framework for Decision
Tree Ensembles in Federated Learning},
journal = {CoRR},
volume = {abs/2105.09540},
year = {2021},
url = {https://arxiv.org/abs/2105.09540},
eprinttype = {arXiv},
eprint = {2105.09540},
timestamp = {Mon, 31 May 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2105-09540.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-10662,
author = {Nhan Khanh Le and
Yang Liu and
Quang Minh Nguyen and
Qingchen Liu and
Fangzhou Liu and
Quanwei Cai and
Sandra Hirche},
title = {FedXGBoost: Privacy-Preserving XGBoost for Federated Learning},
journal = {CoRR},
volume = {abs/2106.10662},
year = {2021},
url = {https://arxiv.org/abs/2106.10662},
eprinttype = {arXiv},
eprint = {2106.10662},
timestamp = {Tue, 30 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2106-10662.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2108-07927,
author = {Zilong Zhao and
Robert Birke and
Aditya Kunar and
Lydia Y. Chen},
title = {Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data},
journal = {CoRR},
volume = {abs/2108.07927},
year = {2021},
url = {https://arxiv.org/abs/2108.07927},
eprinttype = {arXiv},
eprint = {2108.07927},
timestamp = {Mon, 23 Aug 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2108-07927.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2110-10927,
author = {Weijing Chen and
Guoqiang Ma and
Tao Fan and
Yan Kang and
Qian Xu and
Qiang Yang},
title = {SecureBoost+ : {A} High Performance Gradient Boosting Tree Framework
for Large Scale Vertical Federated Learning},
journal = {CoRR},
volume = {abs/2110.10927},
year = {2021},
url = {https://arxiv.org/abs/2110.10927},
eprinttype = {arXiv},
eprint = {2110.10927},
timestamp = {Fri, 01 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2110-10927.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2110-11486,
author = {Akash Dhasade and
Anne{-}Marie Kermarrec and
Rafael Pires},
title = {Guess what? You can boost Federated Learning for free},
journal = {CoRR},
volume = {abs/2110.11486},
year = {2021},
url = {https://arxiv.org/abs/2110.11486},
eprinttype = {arXiv},
eprint = {2110.11486},
timestamp = {Thu, 28 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2110-11486.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2112-04261,
author = {Wuxing Xu and
Hao Fan and
Kaixin Li and
Kai Yang},
title = {Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost},
journal = {CoRR},
volume = {abs/2112.04261},
year = {2021},
url = {https://arxiv.org/abs/2112.04261},
eprinttype = {arXiv},
eprint = {2112.04261},
timestamp = {Mon, 13 Dec 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2112-04261.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/icl/LiSCC20,
author = {Jun Li and
Xiaoman Shen and
Lei Chen and
Jiajia Chen},
title = {Bandwidth Slicing to Boost Federated Learning Over Passive Optical
Networks},
journal = {{IEEE} Commun. Lett.},
volume = {24},
number = {7},
pages = {1492--1495},
year = {2020},
url = {https://doi.org/10.1109/LCOMM.2020.2982397},
doi = {10.1109/LCOMM.2020.2982397},
timestamp = {Thu, 20 Aug 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/icl/LiSCC20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/pvldb/WuCXCO20,
author = {Yuncheng Wu and
Shaofeng Cai and
Xiaokui Xiao and
Gang Chen and
Beng Chin Ooi},
title = {Privacy Preserving Vertical Federated Learning for Tree-based Models},
journal = {Proc. {VLDB} Endow.},
volume = {13},
number = {11},
pages = {2090--2103},
year = {2020},
url = {http://www.vldb.org/pvldb/vol13/p2090-wu.pdf},
timestamp = {Mon, 17 Aug 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/pvldb/WuCXCO20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/LiWH20,
author = {Qinbin Li and
Zeyi Wen and
Bingsheng He},
title = {Practical Federated Gradient Boosting Decision Trees},
booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
2020, The Thirty-Second Innovative Applications of Artificial Intelligence
Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational
Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,
February 7-12, 2020},
pages = {4642--4649},
publisher = {{AAAI} Press},
year = {2020},
url = {https://doi.org/10.1609/aaai.v34i04.5895},
doi = {10.1609/AAAI.V34I04.5895},
timestamp = {Fri, 08 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/LiWH20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/bigdataconf/ChenCZK20,
author = {Cheng Chen and
Ziyi Chen and
Yi Zhou and
Bhavya Kailkhura},
editor = {Xintao Wu and
Chris Jermaine and
Li Xiong and
Xiaohua Hu and
Olivera Kotevska and
Siyuan Lu and
Weija Xu and
Srinivas Aluru and
Chengxiang Zhai and
Eyhab Al{-}Masri and
Zhiyuan Chen and
Jeff Saltz},
title = {FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling},
booktitle = {2020 {IEEE} International Conference on Big Data {(IEEE} BigData 2020),
Atlanta, GA, USA, December 10-13, 2020},
pages = {5017--5026},
publisher = {{IEEE}},
year = {2020},
url = {https://doi.org/10.1109/BigData50022.2020.9377960},
doi = {10.1109/BIGDATA50022.2020.9377960},
timestamp = {Wed, 09 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/bigdataconf/ChenCZK20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/blockchain2/SouzaRCGD20,
author = {Lucas Airam C. de Souza and
Gabriel Antonio F. Rebello and
Gustavo Franco Camilo and
Lucas C. B. Guimar{\~{a}}es and
Otto Carlos M. B. Duarte},
title = {DFedForest: Decentralized Federated Forest},
booktitle = {{IEEE} International Conference on Blockchain, Blockchain 2020, Rhodes,
Greece, November 2-6, 2020},
pages = {90--97},
publisher = {{IEEE}},
year = {2020},
url = {https://doi.org/10.1109/Blockchain50366.2020.00019},
doi = {10.1109/BLOCKCHAIN50366.2020.00019},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/blockchain2/SouzaRCGD20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icdcs/LiuMLMND020,
author = {Yang Liu and
Zhuo Ma and
Ximeng Liu and
Siqi Ma and
Surya Nepal and
Robert H. Deng and
Kui Ren},
title = {Boosting Privately: Federated Extreme Gradient Boosting for Mobile
Crowdsensing},
booktitle = {40th {IEEE} International Conference on Distributed Computing Systems,
{ICDCS} 2020, Singapore, November 29 - December 1, 2020},
pages = {1--11},
publisher = {{IEEE}},
year = {2020},
url = {https://doi.org/10.1109/ICDCS47774.2020.00017},
doi = {10.1109/ICDCS47774.2020.00017},
timestamp = {Mon, 03 Jan 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icdcs/LiuMLMND020.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iconip/Yamamoto0O20,
author = {Fuki Yamamoto and
Lihua Wang and
Seiichi Ozawa},
editor = {Haiqin Yang and
Kitsuchart Pasupa and
Andrew Chi{-}Sing Leung and
James T. Kwok and
Jonathan H. Chan and
Irwin King},
title = {New Approaches to Federated XGBoost Learning for Privacy-Preserving
Data Analysis},
booktitle = {Neural Information Processing - 27th International Conference, {ICONIP}
2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part {II}},
series = {Lecture Notes in Computer Science},
volume = {12533},
pages = {558--569},
publisher = {Springer},
year = {2020},
url = {https://doi.org/10.1007/978-3-030-63833-7\_47},
doi = {10.1007/978-3-030-63833-7\_47},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/iconip/Yamamoto0O20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/latincom/TaoZ20,
author = {Yangyang Tao and
Junxiu Zhou},
title = {Straggler Remission for Federated Learning via Decentralized Redundant
Cayley Tree},
booktitle = {{IEEE} Latin-American Conference on Communications, {LATINCOM} 2020,
Santo Domingo, Dominican Republic, November 18-20, 2020},
pages = {1--6},
publisher = {{IEEE}},
year = {2020},
url = {https://doi.org/10.1109/LATINCOM50620.2020.9282334},
doi = {10.1109/LATINCOM50620.2020.9282334},
timestamp = {Tue, 26 Jan 2021 16:01:08 +0100},
biburl = {https://dblp.org/rec/conf/latincom/TaoZ20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@incollection{DBLP:series/lncs/FengXW020,
author = {Ji Feng and
Yi{-}Xuan Xu and
Yong{-}Gang Wang and
Yuan Jiang},
editor = {Qiang Yang and
Lixin Fan and
Han Yu},
title = {Federated Soft Gradient Boosting Machine for Streaming Data},
booktitle = {Federated Learning - Privacy and Incentive},
series = {Lecture Notes in Computer Science},
volume = {12500},
pages = {93--107},
publisher = {Springer},
year = {2020},
url = {https://doi.org/10.1007/978-3-030-63076-8\_7},
doi = {10.1007/978-3-030-63076-8\_7},
timestamp = {Mon, 30 Nov 2020 12:52:43 +0100},
biburl = {https://dblp.org/rec/series/lncs/FengXW020.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2002-07323,
author = {Yang Liu and
Mingxin Chen and
Wenxi Zhang and
Junbo Zhang and
Yu Zheng},
title = {Federated Extra-Trees with Privacy Preserving},
journal = {CoRR},
volume = {abs/2002.07323},
year = {2020},
url = {https://arxiv.org/abs/2002.07323},
eprinttype = {arXiv},
eprint = {2002.07323},
timestamp = {Tue, 21 Dec 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2002-07323.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2005-05304,
author = {Zhuzhu Wang and
Yilong Yang and
Yang Liu and
Ximeng Liu and
Brij B. Gupta and
Jianfeng Ma},
title = {Cloud-based Federated Boosting for Mobile Crowdsensing},
journal = {CoRR},
volume = {abs/2005.05304},
year = {2020},
url = {https://arxiv.org/abs/2005.05304},
eprinttype = {arXiv},
eprint = {2005.05304},
timestamp = {Fri, 28 Aug 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2005-05304.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2007-07296,
author = {Hanchi Ren and
Jingjing Deng and
Xianghua Xie},
title = {Privacy Preserving Text Recognition with Gradient-Boosting for Federated
Learning},
journal = {CoRR},
volume = {abs/2007.07296},
year = {2020},
url = {https://arxiv.org/abs/2007.07296},
eprinttype = {arXiv},
eprint = {2007.07296},
timestamp = {Thu, 21 Jul 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2007-07296.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2008-06170,
author = {Yuncheng Wu and
Shaofeng Cai and
Xiaokui Xiao and
Gang Chen and
Beng Chin Ooi},
title = {Privacy Preserving Vertical Federated Learning for Tree-based Models},
journal = {CoRR},
volume = {abs/2008.06170},
year = {2020},
url = {https://arxiv.org/abs/2008.06170},
eprinttype = {arXiv},
eprint = {2008.06170},
timestamp = {Fri, 21 Aug 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2008-06170.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2009-10748,
author = {Cheng Chen and
Ziyi Chen and
Yi Zhou and
Bhavya Kailkhura},
title = {FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling},
journal = {CoRR},
volume = {abs/2009.10748},
year = {2020},
url = {https://arxiv.org/abs/2009.10748},
eprinttype = {arXiv},
eprint = {2009.10748},
timestamp = {Mon, 16 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2009-10748.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2011-01783,
author = {Tiansheng Huang and
Weiwei Lin and
Wentai Wu and
Ligang He and
Keqin Li and
Albert Y. Zomaya},
title = {An Efficiency-boosting Client Selection Scheme for Federated Learning
with Fairness Guarantee},
journal = {CoRR},
volume = {abs/2011.01783},
year = {2020},
url = {https://arxiv.org/abs/2011.01783},
eprinttype = {arXiv},
eprint = {2011.01783},
timestamp = {Fri, 09 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2011-01783.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2011-02796,
author = {Zhihua Tian and
Rui Zhang and
Xiaoyang Hou and
Jian Liu and
Kui Ren},
title = {FederBoost: Private Federated Learning for {GBDT}},
journal = {CoRR},
volume = {abs/2011.02796},
year = {2020},
url = {https://arxiv.org/abs/2011.02796},
eprinttype = {arXiv},
eprint = {2011.02796},
timestamp = {Wed, 13 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2011-02796.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2011-05578,
author = {Raouf Kerkouche and
Gergely {\'{A}}cs and
Claude Castelluccia and
Pierre Genev{\`{e}}s},
title = {Compression Boosts Differentially Private Federated Learning},
journal = {CoRR},
volume = {abs/2011.05578},
year = {2020},
url = {https://arxiv.org/abs/2011.05578},
eprinttype = {arXiv},
eprint = {2011.05578},
timestamp = {Thu, 12 Nov 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2011-05578.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2012-06670,
author = {Yuya Jeremy Ong and
Yi Zhou and
Nathalie Baracaldo and
Heiko Ludwig},
title = {Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning},
journal = {CoRR},
volume = {abs/2012.06670},
year = {2020},
url = {https://arxiv.org/abs/2012.06670},
eprinttype = {arXiv},
eprint = {2012.06670},
timestamp = {Sat, 02 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2012-06670.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/mod/SjobergGKJ19,
author = {Anders Sj{\"{o}}berg and
Emil Gustavsson and
Ashok Chaitanya Koppisetty and
Mats Jirstrand},
editor = {Giuseppe Nicosia and
Panos M. Pardalos and
Renato Umeton and
Giovanni Giuffrida and
Vincenzo Sciacca},
title = {Federated Learning of Deep Neural Decision Forests},
booktitle = {Machine Learning, Optimization, and Data Science - 5th International
Conference, {LOD} 2019, Siena, Italy, September 10-13, 2019, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {11943},
pages = {700--710},
publisher = {Springer},
year = {2019},
url = {https://doi.org/10.1007/978-3-030-37599-7\_58},
doi = {10.1007/978-3-030-37599-7\_58},
timestamp = {Fri, 10 Jan 2020 14:31:49 +0100},
biburl = {https://dblp.org/rec/conf/mod/SjobergGKJ19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1905-10053,
author = {Yang Liu and
Yingting Liu and
Zhijie Liu and
Junbo Zhang and
Chuishi Meng and
Yu Zheng},
title = {Federated Forest},
journal = {CoRR},
volume = {abs/1905.10053},
year = {2019},
url = {http://arxiv.org/abs/1905.10053},
eprinttype = {arXiv},
eprint = {1905.10053},
timestamp = {Tue, 11 Aug 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1905-10053.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1907-07157,
author = {Mengwei Yang and
Linqi Song and
Jie Xu and
Congduan Li and
Guozhen Tan},
title = {The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using
Federated XGBoost},
journal = {CoRR},
volume = {abs/1907.07157},
year = {2019},
url = {http://arxiv.org/abs/1907.07157},
eprinttype = {arXiv},
eprint = {1907.07157},
timestamp = {Sun, 29 Dec 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1907-07157.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1907-10218,
author = {Yang Liu and
Zhuo Ma and
Ximeng Liu and
Siqi Ma and
Surya Nepal and
Robert H. Deng},
title = {Boosting Privately: Privacy-Preserving Federated Extreme Boosting
for Mobile Crowdsensing},
journal = {CoRR},
volume = {abs/1907.10218},
year = {2019},
url = {http://arxiv.org/abs/1907.10218},
eprinttype = {arXiv},
eprint = {1907.10218},
timestamp = {Fri, 02 Aug 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1907-10218.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1911-03242,
author = {Yang Liu and
Zhuo Ma and
Ximeng Liu and
Zhuzhu Wang and
Siqi Ma and
Ken Ren},
title = {Revocable Federated Learning: {A} Benchmark of Federated Forest},
journal = {CoRR},
volume = {abs/1911.03242},
year = {2019},
url = {http://arxiv.org/abs/1911.03242},
eprinttype = {arXiv},
eprint = {1911.03242},
timestamp = {Mon, 11 Nov 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1911-03242.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1911-04206,
author = {Qinbin Li and
Zeyi Wen and
Bingsheng He},
title = {Practical Federated Gradient Boosting Decision Trees},
journal = {CoRR},
volume = {abs/1911.04206},
year = {2019},
url = {http://arxiv.org/abs/1911.04206},
eprinttype = {arXiv},
eprint = {1911.04206},
timestamp = {Sun, 01 Dec 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1911-04206.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1911-07615,
author = {Jun Li and
Xiaoman Shen and
Lei Chen and
Jiajia Chen},
title = {Bandwidth Slicing to Boost Federated Learning in Edge Computing},
journal = {CoRR},
volume = {abs/1911.07615},
year = {2019},
url = {http://arxiv.org/abs/1911.07615},
eprinttype = {arXiv},
eprint = {1911.07615},
timestamp = {Tue, 03 Dec 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1911-07615.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icncc/Sriharee16,
author = {Gridaphat Sriharee},
title = {A Federated {GIS} Data Service System for Tabular Data Integration
Using Ontology Approach},
booktitle = {Proceedings of the Fifth International Conference on Network, Communication
and Computing, {ICNCC} '16, Kyoto, Japan, December 17-21, 2016},
pages = {145--149},
publisher = {{ACM}},
year = {2016},
url = {https://doi.org/10.1145/3033288.3033306},
doi = {10.1145/3033288.3033306},
timestamp = {Tue, 25 Apr 2023 15:45:49 +0200},
biburl = {https://dblp.org/rec/conf/icncc/Sriharee16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/puc/Al-TurjmanHOA13,
author = {Fadi M. Al{-}Turjman and
Hossam S. Hassanein and
Sharief M. A. Oteafy and
Waleed Alsalih},
title = {Towards augmenting federated wireless sensor networks in forestry
applications},
journal = {Pers. Ubiquitous Comput.},
volume = {17},
number = {5},
pages = {1025--1034},
year = {2013},
url = {https://doi.org/10.1007/s00779-012-0549-7},
doi = {10.1007/S00779-012-0549-7},
timestamp = {Thu, 09 Jul 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/puc/Al-TurjmanHOA13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ride/PrabhakarHRSEHNSF93,
author = {Satya Prabhakar and
Jiandong Huang and
James Richardson and
Jaideep Srivastava and
Ee{-}Peng Lim and
San{-}Yih Hwang and
Shamkant B. Navathe and
Ashok Savasere and
Mark Foresti},
editor = {Hans{-}J{\"{o}}rg Schek and
Amit P. Sheth and
Bogdan D. Czejdo},
title = {Federated Autonomous Databases: Project Overview},
booktitle = {{RIDE-IMS} '93, Thirst International Workshop on Research Issues in
Data Engineering: Interoperability in Multidatabase Systems, Vienna,
Austria, April 19-20, 1993},
pages = {216--219},
publisher = {{IEEE} Computer Society},
year = {1993},
url = {https://doi.org/10.1109/RIDE.1993.281921},
doi = {10.1109/RIDE.1993.281921},
timestamp = {Thu, 23 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/ride/PrabhakarHRSEHNSF93.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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