arXiv AI July 23, 2026 By Akarsh K Nair, Muhammad Arifur Rahman, Nicholas Shopland, Andy Burton, Jun He, Yuan Shen, David Baldwin, Emma O'Dowd, Amna Burzic, Mufti Mahmud, David J. Brown

SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training framework

Read the original on arXiv AI →

arXiv:2607. 19524v1 Announce Type: cross Abstract: Federated learning (FL) offers a promising approach to privacy-preserving clinical risk prediction, but its deployment remains limited by restricted data sharing, client heterogeneity, class imbalance, and the lack of realistic tabular electronic health record (EHR) benchmarks.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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