Federated multimodal learning for privacy-preserving blood donor profiling and personalized recall strategy optimization

Abstract Blood supply shortages remain a persistent challenge for transfusion services, yet effective donor recall is hampered by fragmented data across institutions, limited profiling depth, and increasing privacy regulations. This paper proposes a federated multimodal learning framework that enabl...

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Autors principals:	Li Li, Jiaojiao Li
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-05-01
Col·lecció:	Scientific Reports
Matèries:	Federated learning Multimodal fusion Differential privacy Blood donor profiling Recall strategy optimization Cross-modal attention
Accés en línia:	https://doi.org/10.1038/s41598-026-51183-w
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