Fusion of Personalized Federated Learning

This paper presents a novel privacy-preserving architecture, a fusion of Federated Learning with Personalized Models and Differential Privacy (FLPMDP), for diagnosing arrhythmia from 12-lead electrocardiogram (ECG) signals. The architecture supports collaborative training in decentralized healthcare...

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Bibliographic Details
Published inPloS one Vol. 20; no. 7; p. e0327108
Main Authors Bokhari, Syed Mohsin, Sohaib, Sarmad, Shafi, Muhammad
Format Journal Article
LanguageEnglish
Published Public Library of Science 11.07.2025
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