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Publication search results
found 71 matches
- 2024
- Mingyang Zhou, Gang Liu, Kezhong Lu, Rui Mao, Hao Liao:
Accelerating the Decentralized Federated Learning via Manipulating Edges. WWW 2024: 2945-2954 - Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. WWW 2024: 3139-3149 - Qian Chen, Zilong Wang, Jiaqi Hu, Haonan Yan, Jianying Zhou, Xiaodong Lin:
PAGE: Equilibrate Personalization and Generalization in Federated Learning. WWW 2024: 2955-2964 - Julien Aimonier-Davat, Minh Hoang Dang, Pascal Molli, Brice Nédelec, Hala Skaf-Molli:
Fediscount: Shopping Online at a Federated Store Using FedUP as SPARQL Federation Engine. WWW (Companion Volume) 2024: 1059-1062 - Nayil Arana, Mohamed Ragab, Thanassis Tiropanis:
An Investigation into the Feasibility of Performing Federated Learning on Social Linked Data Servers. WWW (Companion Volume) 2024: 1712-1714 - Gengxiang Chen, Kai Li, Ahmed M. Abdelmoniem, Linlin You:
Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning. WWW (Companion Volume) 2024: 525-528 - Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton:
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. WWW (Companion Volume) 2024: 1548-1557 - Hongyan Gu, Xinyi Zhang, Jiang Li, Hui Wei, Baiqi Li, Xinli Huang:
Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models. WWW 2024: 1149-1157 - Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King:
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling. WWW (Companion Volume) 2024: 1558-1567 - Anupam Gupta, Pabitra Mitra, Sudip Misra:
HBIAS FedAvg: Smooth Federated Learning Transition for In-use Edge Models. WWW (Companion Volume) 2024: 509-512 - Xinrui He, Shuo Liu, Jacky Keung, Jingrui He:
Co-clustering for Federated Recommender System. WWW 2024: 3821-3832 - Fiona Victoria Stanley Jothiraj, Afra Mashhadi:
Phoenix: A Federated Generative Diffusion Model. WWW (Companion Volume) 2024: 1568-1577 - Irwin King, Guodong Long, Zenglin Xu, Han Yu:
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. WWW (Companion Volume) 2024: 1546-1547 - Zengxiang Li, Zhaoxiang Hou, Hui Liu, Tongzhi Li, Chengyi Yang, Ying Wang, Chao Shi, Longfei Xie, Weishan Zhang, Liang Xu, Zelei Liu:
Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management. WWW (Companion Volume) 2024: 1578-1585 - Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato, Jiawen Kang, Xiaoyuan Liu:
Incentive and Dynamic Client Selection for Federated Unlearning. WWW 2024: 2936-2944 - Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong:
Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training. WWW 2024: 3940-3951 - Zhen Qin, Xueqiang Yan, Mengchu Zhou, Shuiguang Deng:
BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework. WWW 2024: 2914-2925 - Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. WWW 2024: 3910-3918 - Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang:
FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. WWW 2024: 2902-2913 - Nan Wu, Xin Yuan, Shuo Wang, Hongsheng Hu, Minhui Xue:
Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach. WWW 2024: 3076-3084 - Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong:
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks. WWW (Companion Volume) 2024: 798-801 - Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi:
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation. WWW 2024: 3919-3929 - Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong:
Poisoning Federated Recommender Systems with Fake Users. WWW 2024: 3555-3565 - Jinliang Yuan, Shangguang Wang, Hongyu Li, Daliang Xu, Yuanchun Li, Mengwei Xu, Xuanzhe Liu:
Towards Energy-efficient Federated Learning via INT8-based Training on Mobile DSPs. WWW 2024: 2786-2794 - Yanjun Zhang, Ruoxi Sun, Liyue Shen, Guangdong Bai, Minhui Xue, Mark Huasong Meng, Xue Li, Ryan K. L. Ko, Surya Nepal:
Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience. WWW 2024: 2986-2997 - Rui Zhang, Song Guo, Ping Li:
GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning. WWW (Companion Volume) 2024: 698-701 - Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang:
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. WWW 2024: 3632-3642 - Jiayun Zhang, Shuheng Li, Haiyu Huang, Zihan Wang, Xiaohan Fu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments. WWW 2024: 2976-2985 - Jingjing Zheng, Kai Li, Xin Yuan, Wei Ni, Eduardo Tovar:
Detecting Poisoning Attacks on Federated Learning Using Gradient-Weighted Class Activation Mapping. WWW (Companion Volume) 2024: 714-717 - Enyuan Zhou, Song Guo, Zhixiu Ma, Zicong Hong, Tao Guo, Peiran Dong:
Poisoning Attack on Federated Knowledge Graph Embedding. WWW 2024: 1998-2008
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