A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence

A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence

The increasing prevalence of diabetes necessitates innovative glucose prediction methods that prioritize patient privacy. While edge artificial intelligence (AI) offers potential, its limitations in resource-constrained devices can be mitigated through federated learning (FL). However, challenges re...

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Bibliographic Details
Main Authors: Xinyi Yang, Juan Li
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Healthcare Analytics
Subjects:
Edge artificial intelligence
Diabetes management
Glucose prediction
deep learning
Clustering
Federated learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442525000115
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