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R $^{2}$ Fed: Resilient Reinforcement Federated Learning for Industrial Applications

  • Published:2022 Issue: Volume: Page:1-11
  • ISSN:1551-3203
  • Container-title:IEEE Transactions on Industrial Informatics
  • language:
  • Short-container-title:IEEE Trans. Ind. Inf.

Author:

Zhang Weishan1ORCID,Yu Fa2,Wang Xiao3ORCID,Zeng Xingjie1,Zhao Hongwei1,Tian Yonglin3ORCID,Wang Fei-Yue3ORCID,Li Longfei4,Li Zengxiang2

Affiliation:

1. College of Computer Science and Technology China University of Petroleum (East China), Qingdao, China

2. Institute of Digital Research, ENN Group, Langfang, China

3. Institute of Automation, Chinese Academy of Sciences, Beijing, China

4. Space Star Technology Co., Ltd., Beijing, China

Funder

National Natural Science Foundation of China

State Key Laboratory for Management and Control Complex Systems

Institute of Automation, Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

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