Privacy-Aware Hierarchical Federated Learning in Healthcare: Integrating Differential Privacy and Secure Multi-Party Computation

The development of big data analytics in healthcare has created a demand for privacy-conscious and scalable machine learning algorithms that can allow the use of patient information across different healthcare organizations. In this study, the difficulties that come with traditional federated learni...

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Autori principali:	Jatinder Pal Singh, Aqsa Aqsa, Imran Ghani, Raj Sonani, Vijay Govindarajan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-07-01
Serie:	Future Internet
Soggetti:	differential privacy healthcare applications hierarchical federated learning privacy-preserving machine learning secure multi-party computation
Accesso online:	https://www.mdpi.com/1999-5903/17/8/345
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