Privacy-enhanced federated learning scheme based on generative adversarial networks

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Feng YU, Qingxin LIN, Hui LIN, Xiaoding WANG
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2023-06-01
Series:网络与信息安全学报
Subjects:
federated learning
gradient leakage
privacy enhancement
generative adversarial network
differential privacy
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2023043
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items