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Generalized Federated Learning via Sharpness Aware Minimization

2022 · arXiv (Cornell University)

Federated Learning (FL) is a promising framework for performing privacy-preserving, distributed learning with a set of clients. However, the data distribution among clients often exhibits non-IID, i.e., distribution shift, which makes efficient optimization difficult. To …