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PriFairFed: A Local Differentially Private Federated Learning Algorithm for Client-Level Fairness Journal article
Hu, Chuang, Wu, Nanxi, Shi, Siping, Liu, Xuan, Luo, Bing, Wang, Ye, Jiang, Jiawei, Cheng, Dazhao, Wenhan, Wu W.. PriFairFed: A Local Differentially Private Federated Learning Algorithm for Client-Level Fairness[J]. IEEE Transactions on Mobile Computing, 2024, 1-12.
Authors:  Hu, Chuang;  Wu, Nanxi;  Shi, Siping;  Liu, Xuan;  Luo, Bing; et al.
Favorite | TC[Scopus]:0  IF:7.7/6.5 | Submit date：2024/12/26
Federated Learning  Local Differential Privacy  Performance Fairness  Tikhonov Regularization  
Robust Max-Min Fairness Transmission Design for IRS-Aided Wireless Network Considering User Location Uncertainty Journal article
Ji,Taotao, Hua,Meng, Li,Chunguo, Huang,Yongming, Yang,Luxi. Robust Max-Min Fairness Transmission Design for IRS-Aided Wireless Network Considering User Location Uncertainty[J]. IEEE Transactions on Communications, 2023, 71(8), 4678 - 4693.
Authors:  Ji,Taotao;  Hua,Meng;  Li,Chunguo;  Huang,Yongming;  Yang,Luxi
Favorite | TC[WOS]:6 TC[Scopus]:11  IF:7.2/6.3 | Submit date：2023/08/03
Deployment Orientation Design  Intelligent Reflecting Surface (Irs)  Interference  Location Uncertainty  Max-min Fairness  Minimax Techniques  Optimization  Robust Design  Signal To Noise Ratio  System Performance  Uncertainty  Wireless Networks