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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Published in | PloS one Vol. 20; no. 7; p. e0327108 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Public Library of Science
11.07.2025
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Subjects | |
Online Access | Get full text |
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