Privacy-enhanced federated learning scheme based on generative adversarial networks

Federated learning, a distributed machine learning paradigm, has gained a lot of attention due to its inherent privacy protection capability and heterogeneous collaboration.However, recent studies have revealed a potential privacy risk known as “gradient leakage”, where the gradients can be used to...

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主要作者:	Feng YU, Qingxin LIN, Hui LIN, Xiaoding WANG
格式:	Artigo
语言:	Inglês
出版:	POSTS&TELECOM PRESS Co., LTD 2023-06-01
丛编:	网络与信息安全学报
主题:	federated learning gradient leakage privacy enhancement generative adversarial network differential privacy
在线阅读:	https://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2023043
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