most citedUnderstanding and Improving Model Averaging in Federated Learning on Heterogeneous Data

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cs.LG2023★ 26 cited

Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data

Tailin Zhou, Zehong Lin, Jun Zhang +1

Model averaging is a widely adopted technique in federated learning (FL) that aggregates multiple client models to obtain a global model. Remarkably, model averaging in FL yields a…