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Toshio Shimokawa

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#machine learning Preprint Sep 2026

Geographically Regularized AUC-Maximizing Personalized Federated Learning

Accurate diagnostic and risk-prediction models are important for supporting clinical decision-making during infectious disease outbreaks. However, privacy and governance requirements may restrict patient-level data sharing across healthcare institutions, and data distributions often vary. Moreover, AUC is widely used t...

Mayu Hiraishi, Kensuke Tanioka, Toshio Shimokawa · 0 citations

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