Fall Detection Using Federated Lightweight CNN Models: A Comparison of Decentralized vs. Centralized Learning

Fall detection is a critical task in healthcare monitoring systems, especially for elderly populations, for whom timely intervention can significantly reduce morbidity and mortality. This study proposes a privacy-preserving and scalable fall-detection framework that integrates federated learning (FL...

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Bibliographic Details
Main Authors: Qasim Mahdi Haref, Jun Long, Zhan Yang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/15/8315
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