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Jeremiah D. Deng

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#machine learning Preprint Sep 2026

FedFIbOS: Fisher Importance based Optimal Submodelling for Heterogeneous Federated Learning

Experiments on CIFAR-10, CIFAR-100, and AGNews under pathological and Dirichlet non-IID settings show FedFIbOS achieves higher accuracy than the state of the art, with improvements becoming more pronounced under stronger heterogeneity.

Yasmeen C. Afzal, Jeremiah D. Deng, Haibo Zhang · 0 citations