RFL-APIA: A Comprehensive Framework for Mitigating Poisoning Attacks and Promoting Model Aggregation in IIoT Federated Learning-Reference-Cited by-同舟云学术

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RFL-APIA: A Comprehensive Framework for Mitigating Poisoning Attacks and Promoting Model Aggregation in IIoT Federated Learning

Published:2024 Issue: Volume: Page:1-10
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Li Chuang¹^ORCID,He Aoli¹^ORCID,Liu Gang²^ORCID,Wen Yanhua¹^ORCID,Chronopoulos Anthony Theodore³^ORCID,Giannakos Aristotelis⁴

Affiliation:

1. College of Computer Science, Hunan University of Technology and Business, Changsha, China

2. School of Computer Engineering and Science, Shanghai University, Shanghai, China

3. Department of Computer Science, University of Texas, San Antonio, USA

4. Department of Computer Science, Universite Paris-Dauphine, Paris, France

Funder

Key Research and Development Plan of Hunan Province

National Natural Science Foundation of China

Training Program for Excellent Young Innovators of Changsha

Natural Science Foundation of Hunan Province

Education Department of Hunan Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/9424/4389054/10616383.pdf?arnumber=10616383

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