Local Differential Privacy-Based Federated Learning under Personalized Settings

Local Differential Privacy-Based Federated Learning under Personalized Settings

Federated learning is a distributed machine learning paradigm, which utilizes multiple clients’ data to train a model. Although federated learning does not require clients to disclose their original data, studies have shown that attackers can infer clients’ privacy by analyzing the local models shar...

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Bibliographic Details
Main Authors:	Xia Wu, Lei Xu, Liehuang Zhu
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Series:	Applied Sciences
Subjects:	federated learning local differential privacy personalized privacy preserving model perturbation model aggregation
Online Access:	https://www.mdpi.com/2076-3417/13/7/4168

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