MediVault: An Auditable and Secure Federated Learning System for Privacy-Preserving Healthcare Collaboration

Healthcare analytics is often limited by data silos and strict privacy requirements, which make it difficult to share patient-level records across organisations and to build robust predictive models. Federated learning (FL) provides an alternative by keeping data local and exchanging model updates i...

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Autors principals:	Jie Li, Usman Adeel, Muhammad Safwan Akram
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-05-01
Col·lecció:	Algorithms
Matèries:	federated learning privacy-preserving machine learning healthcare analytics secure aggregation auditability homomorphic encryption
Accés en línia:	https://www.mdpi.com/1999-4893/19/6/427
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