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Privacy Preserving Distributed Bandit Residual Feedback Online Optimization Over Time-Varying Unbalanced Graphs

Zhongyuan Zhao Zhiqiang Yang Luyao Jiang Ju Yang Quanbo Ge

自动化学报（英文版）2024，Vol.11Issue(11)：2284-2297,14.

自动化学报（英文版）2024，Vol.11Issue(11)：2284-2297,14.DOI:10.1109/JAS.2024.124656

Privacy Preserving Distributed Bandit Residual Feedback Online Optimization Over Time-Varying Unbalanced Graphs

Zhongyuan Zhao ¹Zhiqiang Yang ¹Luyao Jiang ²Ju Yang ¹Quanbo Ge¹

作者信息

1. School of Automation,Nanjing University of Information Science and Technology||Jiangsu Key Laboratory of Big Data Analysis Technology,Nanjing 210044,China
2. School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China
折叠

摘要

关键词

Differential privacy/distributed online optimization(DOO)/federated learning/one-point residual feedback(OPRF)/time-varying unbalanced graphs

Key words

Differential privacy/distributed online optimization(DOO)/federated learning/one-point residual feedback(OPRF)/time-varying unbalanced graphs

引用本文复制引用

Zhongyuan Zhao,Zhiqiang Yang,Luyao Jiang,Ju Yang,Quanbo Ge..Privacy Preserving Distributed Bandit Residual Feedback Online Optimization Over Time-Varying Unbalanced Graphs[J].自动化学报（英文版）,2024,11(11):2284-2297,14.

基金项目

This work was supported by the National Natural Science Foundation of China(62033010,U23B2061)and Qing Lan Project of Jiangsu Province(R2023Q07). （62033010,U23B2061）

自动化学报（英文版）

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