A personalized federated learning approach to enhance joint modeling for heterogeneous medical institutions

A personalized federated learning approach to enhance joint modeling for heterogeneous medical institutions

Background Federated Learning (FL) offers a privacy-preserving solution for multi-party data collaboration in smart healthcare. However, the data heterogeneity among hospitals and among patients often results in suboptimal performance for some hospitals when applying a global FL model. Current clust...

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Bibliographic Details
Main Authors:	Hong Ye, Xiangzhou Zhang, Kang Liu, Ziyuan Liu, Weiqi Chen, Bo Liu, Eric WT Ngai, Yong Hu
Format:	Article
Language:	English
Published:	SAGE Publishing 2025-07-01
Series:	Digital Health
Online Access:	https://doi.org/10.1177/20552076251360861
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