Enhancing healthcare data privacy and interoperability with federated learning

Enhancing healthcare data privacy and interoperability with federated learning

This article explores the application of federated learning (FL) with the Fast Healthcare Interoperability Resources (FHIR) protocol to address the underutilization of the huge volumes of healthcare data generated by the digital health revolution, especially those from wearable sensors, due to priva...

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Bibliographic Details
Main Authors: Adil Akhmetov, Zohaib Latif, Benjamin Tyler, Adnan Yazici
Format: Article
Language:English
Published: PeerJ Inc. 2025-05-01
Series:PeerJ Computer Science
Subjects:
Artificial intelligence
Data interoperability
Federated learning
Internet of Things
Distributed & parallel computing
Emerging technologies
Online Access:https://peerj.com/articles/cs-2870.pdf
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