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2020 – today
- 2024
[j6]Haibo Tian, Yanchuan Wen, Fangguo Zhang
, Yunfeng Shao, Bingshuai Li:
Lattice based distributed threshold additive homomorphic encryption with application in federated learning. Comput. Stand. Interfaces 87: 103765 (2024)- [j5]Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan:
MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. IEEE Trans. Knowl. Data Eng. 36(11): 6560-6573 (2024) - [j4]Chen Gong, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen:
ODE: An Online Data Selection Framework for Federated Learning With Limited Storage. IEEE/ACM Trans. Netw. 32(4): 2794-2809 (2024) - [c9]Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen:
Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments. ICPP 2024: 782-791 - [i12]Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan:
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes. CoRR abs/2404.09232 (2024) - [i11]Guopeng Lin, Weili Han, Wenqiang Ruan, Ruisheng Zhou, Lushan Song, Bingshuai Li, Yunfeng Shao:
Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization. CoRR abs/2406.07948 (2024) - 2023
- [j3]Yucheng Shi, Kunhong Wu, Yahong Han, Yunfeng Shao, Bingshuai Li, Fei Wu:
Source-free and black-box domain adaptation via distributionally adversarial training. Pattern Recognit. 143: 109750 (2023) - [j2]Run Li, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Active and Compact Entropy Search for High-Dimensional Bayesian Optimization. IEEE Trans. Knowl. Data Eng. 35(1): 59-70 (2023) - [c8]Songli Zhang, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen:
Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning. ICPP 2023: 462-471 - [c7]Chen Gong, Zhenzhe Zheng, Fan Wu, Yunfeng Shao, Bingshuai Li, Guihai Chen:
To Store or Not? Online Data Selection for Federated Learning with Limited Storage. WWW 2023: 3044-3055 - [i10]Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen:
ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation. CoRR abs/2311.11083 (2023) - 2022
- [j1]Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Exploring uncertainty in regression neural networks for construction of prediction intervals. Neurocomputing 481: 249-257 (2022) - [c6]Haibo Tian, Yanchuan Wen, Fangguo Zhang, Yunfeng Shao, Bingshuai Li:
A Distributed Threshold Additive Homomorphic Encryption for Federated Learning with Dropout Resiliency Based on Lattice. CSS 2022: 277-292 - [c5]Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan:
Federated Learning with Position-Aware Neurons. CVPR 2022: 10072-10081 - [c4]Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan:
Avoid Overfitting User Specific Information in Federated Keyword Spotting. INTERSPEECH 2022: 3869-3873 - [c3]Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan:
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. NeurIPS 2022 - [i9]Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan:
Federated Learning with Position-Aware Neurons. CoRR abs/2203.14666 (2022) - [i8]Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan:
Avoid Overfitting User Specific Information in Federated Keyword Spotting. CoRR abs/2206.08864 (2022) - [i7]Chen Gong, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen:
ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer. CoRR abs/2209.00195 (2022) - [i6]Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan:
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. CoRR abs/2210.04427 (2022) - 2021
- [c2]Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song:
FedPHP: Federated Personalization with Inherited Private Models. ECML/PKDD (1) 2021: 587-602 - [i5]Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals. CoRR abs/2104.12953 (2021) - [i4]Kunhong Wu, Yucheng Shi, Yahong Han, Yunfeng Shao, Bingshuai Li:
Black-box Probe for Unsupervised Domain Adaptation without Model Transferring. CoRR abs/2107.10174 (2021) - [i3]Xin-Chun Li, Le Gan, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song:
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes. CoRR abs/2107.11954 (2021) - [i2]Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song:
Preliminary Steps Towards Federated Sentiment Classification. CoRR abs/2107.11956 (2021) - [i1]Haibo Tian, Fangguo Zhang, Yunfeng Shao, Bingshuai Li:
Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning. CoRR abs/2111.10753 (2021) - 2020
- [c1]Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation. IJCAI 2020: 934-940
Coauthor Index
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