An embedding-based federated learning system with a frozen haematology foundation model and personalised aggregation (FedMAP) improves iron deficiency prediction across two non-IID clinical sites over local-only training.
Efficiency and safety of varying the frequency of whole blood donation (interval): a randomised trial of 45 000 donors
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Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction
An embedding-based federated learning system with a frozen haematology foundation model and personalised aggregation (FedMAP) improves iron deficiency prediction across two non-IID clinical sites over local-only training.