This paper is in the following e-collection/theme issue:

Artificial Intelligence in Diabetes Care and Prevention (58) Diabetes Self-Management (608) Glucose Tracking and Self-Monitoring of Blood Glucose (206) Diabetes Education and Elearning for Patients (160)

Published on in Vol 10 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72874, first published .
Privacy-Preserving Glycemic Management in Type 1 Diabetes: Development and Validation of a Multiobjective Federated Reinforcement Learning Framework

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

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

Authors of this article:

Fatemeh Sarani Rad1 Author Orcid Image ;   Juan Li1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Mao N, He J, Chen Q, Xu D, Zhang D. Multiscale materials design and artificial intelligence Integration: Clinical translation pathways and interdisciplinary challenges of wearable glucose sensing technology. Materials Today Chemistry 2026;52:103305 View