Diversity-aware federated active learning under real-world distribution shifts (FIDAL)
Read the original at arxiv.org→arXiv:2609.31637v1 Announce Type: new Abstract: Federated learning enables collaborative model training across institutions without centralizing data, yet high annotation costs, domain shifts, and class imbalance...
Original headline: "FIDAL: Diversity-Aware Federated Active Learning Under Real-World Distribution Shifts"
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- Sep 29, 04:00 UTC arXiv cs.LG lead source FIDAL: Diversity-Aware Federated Active Learning Under Real-World Distribution Shifts