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BPS-FL:Blockchain-Based Privacy-Preserving and Secure Federated Learning

Jianping Yu Hang Yao Kai Ouyang Xiaojun Cao Lianming Zhang

大数据挖掘与分析（英文版）2025，Vol.8Issue(1)：189-213,25.

大数据挖掘与分析（英文版）2025，Vol.8Issue(1)：189-213,25.DOI:10.26599/BDMA.2024.9020053

BPS-FL:Blockchain-Based Privacy-Preserving and Secure Federated Learning

Jianping Yu ¹Hang Yao ¹Kai Ouyang ¹Xiaojun Cao ²Lianming Zhang¹

作者信息

1. College of Information Science and Engineering,Hunan Normal University,Changsha 410081,China
2. is with Department of Computer Science,Georgia State University,Atlanta 30303,USA
折叠

摘要

关键词

Federated Learning(FL)/blockchain/privacy-preserving/model poisoning attack/Byzantine-robustness

Key words

Federated Learning(FL)/blockchain/privacy-preserving/model poisoning attack/Byzantine-robustness

引用本文复制引用

Jianping Yu,Hang Yao,Kai Ouyang,Xiaojun Cao,Lianming Zhang..BPS-FL:Blockchain-Based Privacy-Preserving and Secure Federated Learning[J].大数据挖掘与分析（英文版）,2025,8(1):189-213,25.

基金项目

This work was supported by the National Natural Science Foundation of China(No.62472170),the Hunan Provincial Natural Science Foundation of China(Nos.2021JJ30455,2022JJ30398,and 2022JJ40277),the Hunan Provincial Degree and Postgraduate Teaching Reform Research Project of China(No.2023JGSZ060),and the Scientific Research Fund of Hunan Provincial Education Department of China(No.22A0056). （No.62472170）

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