CLDP-pFedAvg: Safeguarding Client Data Privacy in Personalized Federated Averaging

CLDP-pFedAvg: Safeguarding Client Data Privacy in Personalized Federated Averaging

The personalized federated averaging algorithm integrates a federated averaging approach with a model-agnostic meta-learning technique. In real-world heterogeneous scenarios, it is essential to implement additional privacy protection techniques for personalized federated learning. We propose a novel...

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Bibliographic Details
Main Authors:	Wenquan Shen, Shuhui Wu, Yuanhong Tao
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Mathematics
Subjects:	personalized federated averaging client-level differential privacy meta-learning
Online Access:	https://www.mdpi.com/2227-7390/12/22/3630
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