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Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15494-15511
作者:  Yang, Zhiyong;  Xu, Qianqian;  Hou, Wenzheng;  Bao, Shilong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载:4/0  |  提交时间:2024/05/20
Optimization  Training  Perturbation methods  Machine learning  Receivers  Machine learning algorithms  Linear programming  AUC Optimization  adversarial learning  machine learning  
How to Tame Mobility in Federated Learning Over Mobile Networks? 期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 卷号: 22, 期号: 12, 页码: 9640-9657
作者:  Peng, Yan;  Tang, Xiaogang;  Zhou, Yiqing;  Hou, Yuenan;  Li, Jintao;  Qi, Yanli;  Liu, Ling;  Lin, Hai
收藏  |  浏览/下载:4/0  |  提交时间:2024/05/20
Federated learning  user mobility  resource allocation  convergence analysis  
Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search 期刊论文
NEURAL NETWORKS, 2023, 卷号: 168, 页码: 237-255
作者:  Yang, Longxing;  Fu, Yanxin;  Lu, Shun;  Sun, Zihao;  Mei, Jilin;  Zhao, Wenxiao;  Hu, Yu
收藏  |  浏览/下载:9/0  |  提交时间:2023/12/04
Zero-shot Neural Architecture Search  Low Consistency  Sweet Gradient  Sweetimator  Sweet-enhanced estimators