Advancing Federated Learning Through Novel Mechanism for Privacy Preservation in Healthcare Applications

Advancing Federated Learning Through Novel Mechanism for Privacy Preservation in Healthcare Applications

The domain of healthcare data collaboration heralds an era of profound transformation, underscoring an exceptional potential to elevate the quality of patient care and expedite the advancement of medical research. The formidable challenge, however, lies in the safeguarding of sensitive information&a...

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Bibliographic Details
Main Authors:	Mohammed Abaoud, Muqrin A. Almuqrin, Mohammad Faisal Khan
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Privacy-preserving federated learning healthcare data differential privacy secure multi-party computation machine learning
Online Access:	https://ieeexplore.ieee.org/document/10201859/

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