Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease.

Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease.

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
Main Authors:	Syed Mohsin Bokhari, Sarmad Sohaib, Muhammad Shafi
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2025-01-01
Series:	PLoS ONE
Online Access:	https://doi.org/10.1371/journal.pone.0327108
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