Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges

Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges

Human Activity Recognition (HAR) has seen remarkable advances in recent years, driven by the widespread use of wearable devices and the increasing demand for personalized healthcare and activity tracking. Federated Learning (FL) is a promising paradigm for HAR that enables the collaborative training...

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Bibliographic Details
Main Authors:	Ons Aouedi, Alessio Sacco, Latif U. Khan, Dinh C. Nguyen, Mohsen Guizani
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Series:	IEEE Open Journal of the Communications Society
Subjects:	Federated learning machine learning human activity recognition data privacy
Online Access:	https://ieeexplore.ieee.org/document/10726594/
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