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

作者：Zhongyuan Zhao;Zhiqiang Yang;Luyao Jiang;Ju Yang;Quanbo Ge

作者单位：School of Automation,Nanjing University of Information Science and Technology||Jiangsu Key Laboratory of Big Data Analysis Technology,Nanjing 210044,ChinaSchool of Automation,Nanjing University of Information Science and Technology||Jiangsu Key Laboratory of Big Data Analysis Technology,Nanjing 210044,ChinaSchool of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,ChinaSchool of Automation,Nanjing University of Information Science and Technology||Jiangsu Key Laboratory of Big Data Analysis Technology,Nanjing 210044,ChinaSchool of Automation,Nanjing University of Information Science and Technology||Jiangsu Key Laboratory of Big Data Analysis Technology,Nanjing 210044,China

中文关键词：Differential privacydistributed online optimization(DOO)federated learningone-point residual feedback(OPRF)time-varying unbalanced graphs

英文关键词：Differential privacydistributed online optimization(DOO)federated learningone-point residual feedback(OPRF)time-varying unbalanced graphs

刊名：《自动化学报（英文版）》 2024 (11)

页码/页数：2284-2297,14

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

DOI：10.1109/JAS.2024.124656