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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Hlavní autor:	Feng YU, Qingxin LIN, Hui LIN, Xiaoding WANG
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	POSTS&TELECOM PRESS Co., LTD 2023-06-01
Edice:	网络与信息安全学报
Témata:	federated learning gradient leakage privacy enhancement generative adversarial network differential privacy
On-line přístup:	https://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2023043
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Privacy-enhanced federated learning scheme based on generative adversarial networks

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