Differentially Private and Heterogeneity-Robust Federated Learning With Theoretical Guarantee

被引：1
|
作者：
Wang, Xiuhua [1 ]
Wang, Shuai [2 ]
Li, Yiwei [3 ]
Fan, Fengrui [1 ]
Li, Shikang [1 ]
Lin, Xiaodong [4 ]
机构：
[1] Huazhong University of Science and Technology, Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Wuhan,430074, China
[2] University of Electronic Science and Technology of China, National Key Laboratory of Wireless Communications, Chengdu,611731, China
[3] Xiamen University of Technology, Fujian Key Laboratory of Communication Network and Information Processing, Xiamen,361024, China
[4] University of Guelph, School of Computer Science, Guelph,ON,N1G 2W1, Canada
来源：
IEEE Transactions on Artificial Intelligence | 2024年 / 5卷 / 12期
关键词：
Compendex;
D O I：
10.1109/TAI.2024.3446759
中图分类号：
学科分类号：
摘要：
Federated learning
引用
收藏
页码：6369 / 6384
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