Article

Toward Real-World Deployment of Federated Learning in Healthcare: A Comprehensive Review of Hybrid Models and Data Simulation Tools

2025-08-18

Abstract excerpt

This review synthesizes recent advancements in federated learning (FL) frameworks tailored for sensitive domains such as mental healthcare, medical imaging, and non-IID data simulation. Some past study presents a hybrid privacy-preserving FL model that integrates clustered federated learning (CFL) and quantum federated learning (QFL) to enhance accuracy and privacy in stress detection using wearable devices. Other...

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Literature Corpus work: 8df18b34-5a12-5301-80b7-6060039e29d7
DOI: 10.20944/preprints202508.1221.v1

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