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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Hlavní autoři:	Md Mahfuzur Rahman, Mst Sumya Yeasmin, Lamia Kabir, Tarek Abedin, MD Helal Uddin, Monowar Mahmud, Atiqur Rahman, Mohammad Nur-E-Alam, Md. Rokonuzzaman
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	University of Diyala 2025-09-01
Edice:	Diyala Journal of Engineering Sciences
Témata:	Federated Learning Machine Learning Decentralized Systems Health care Differential Privacy Privacy-Preserving
On-line přístup:	https://djes.info/index.php/djes/article/view/1964
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