Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
Federated Active Learning Under Extreme Non-IID and Global Class Imbalance explores FairFAL is an adaptive federated active learning framework that enhances performance in class-imbalanced and non-IID settings.. Commercial viability score: 8/10 in Federated Learning.
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