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Enhancing Federated Learning Robustness Using Locally Benignity-Assessable Bayesian Dropout 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2025, 卷号: 20, 页码: 2464-2479
作者:  Xue, Jingjing;  Sun, Sheng;  Liu, Min;  Li, Qi;  Xu, Ke
收藏  |  浏览/下载:1/0  |  提交时间:2025/06/25
Bayes methods  Training  Servers  Data models  Robustness  Distributed databases  Uplink  Convergence  Computational modeling  Recurrent neural networks  Federated learning  Byzantine attack  dropout defense  robust aggregation  
Poisoning Attack Against Estimating From Pairwise Comparisons 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 10, 页码: 6393-6408
作者:  Ma, Ke;  Xu, Qianqian;  Zeng, Jinshan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载:49/0  |  提交时间:2022/12/07
Optimization  Heuristic algorithms  Sports  Voting  Uncertainty  Games  Data models  Adversarial learning  poisoning attack  pairwise comparison  rank aggregation  robust game  distributionally robust optimization