most citedFedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data

1 citations · 1 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 1 cited

FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data

Mike He Zhu, Léna Néhale Ezzine, Dianbo Liu +1

Federated learning is a distributed machine learning approach which enables a shared server model to learn by aggregating the locally-computed parameter updates with the training d…