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20212023
most citedAlleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid

8 citations · 8 across the 3 of their papers we have counts for

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cs.LG2023

Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance

Dun Zeng, Zenglin Xu, Yu Pan +3

Federated Learning (FL) is a distributed learning paradigm to train a global model across multiple devices without collecting local data. In FL, a server typically selects a subset…