Privacy-preserving Byzantine-robust federated learning via blockchain systems

Privacy-preserving Byzantine-robust federated learning via blockchain systems

Federated learning enables clients to train a machine learning model jointly without sharing their local data. However, due to the centrality of federated learning framework and the untrustworthiness of clients, traditional federated learning solutions are vulnerable to poisoning attacks from malici...

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書目詳細資料
Main Authors:	MIAO, Yinbin, LIU, Ziteng, LI, Hongwei, CHOO, Kim-Kwang Raymond, DENG, Robert H.
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2022
主題:	Federated learning poisoning attacks fully homomorphic encryption blockchain Information Security
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/10114
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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