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Federated Learning with Server Learning: Enhancing Performance for Non-IID Data
2022 · arXiv (Cornell University)
Federated Learning (FL) has emerged as a means of distributed learning using local data stored at clients with a coordinating server. Recent studies showed that FL can suffer from poor performance and slower convergence when …