Balancing Privacy and Performance: Federated Learning with Differential Privacy for Real-Time, Resilient Healthcare AI

The escalating dependence on artificial intelligence (AI) within the healthcare sector presents significant challenges pertaining to data privacy, regulatory adherence, and the pragmatic implementation of predictive models. This review meticulously examines the amalgamation of Federated Learning (F...

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Detalhes bibliográficos

Principais autores:	Md Mahfuzur Rahman, Mst Sumya Yeasmin, Lamia Kabir, Tarek Abedin, MD Helal Uddin, Monowar Mahmud, Atiqur Rahman, Mohammad Nur-E-Alam, Md. Rokonuzzaman
Formato:	Artigo
Idioma:	Inglês
Publicado em:	University of Diyala 2025-09-01
coleção:	Diyala Journal of Engineering Sciences
Assuntos:	Federated Learning Machine Learning Decentralized Systems Health care Differential Privacy Privacy-Preserving
Acesso em linha:	https://djes.info/index.php/djes/article/view/1964
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