Privacy-Preserving Glycemic Management in Type 1 Diabetes: Development and Validation of a Multiobjective Federated Reinforcement Learning Framework

Effective diabetes management requires precise glycemic control to prevent both hypoglycemia and hyperglycemia, yet existing machine learning (ML) and reinforcement learning (RL) approaches often fail to balance competing objectives. Traditional RL-based glucose regulation systems primarily focus on...

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Bibliographic Details

Published in:	JMIR diabetes Vol. 10; p. e72874
Main Authors:	Sarani Rad, Fatemeh, Li, Juan
Format:	Journal Article
Language:	English
Published:	Canada JMIR Publications 04.07.2025
Subjects:	Artificial intelligence Automation Decision making Privacy multiobjective optimization privacy-preserving artificial intelligence diabetes management federated reinforcement learning AI blood glucose control reward shaping federated learning reinforcement learning
ISSN:	2371-4379, 2371-4379
Online Access:	Get full text
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