66 citations · 228 across the 17 of their papers we have counts for
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cs.LG2022★ 2 cited
Faster federated optimization under second-order similarity
Ahmed Khaled, Chi Jin
Federated learning (FL) is a subfield of machine learning where multiple clients try to collaboratively learn a model over a network under communication constraints. We consider fi…
cs.LG2022★ 2 cited
Federated Optimization Algorithms with Random Reshuffling and Gradient Compression
Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov +4
Gradient compression is a popular technique for improving communication complexity of stochastic first-order methods in distributed training of machine learning models. However, th…