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Shadi Albarqouni

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#machine learning Preprint Sep 2026

FIDAL: Diversity-Aware Federated Active Learning Under Real-World Distribution Shifts

Federated learning enables collaborative model training across institutions without centralizing data, yet high annotation costs, domain shifts, and class imbalance remain major obstacles, especially when irrelevant out-of-distribution (OOD) samples dilute the labeled data. Existing active learning methods target uncer...

D. Gaviria, Shadi Albarqouni · 0 citations