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10/28/2022
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity
In this work, we study distributed optimization algorithms that reduce t...
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04/27/2022
FedShuffle: Recipes for Better Use of Local Work in Federated Learning
The practice of applying several local updates before aggregation across...
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02/07/2022
FL_PyTorch: optimization research simulator for federated learning
Federated Learning (FL) has emerged as a promising technique for edge de...
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06/06/2021
MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization
We propose a generic variance-reduced algorithm, which we call MUltiple ...
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02/19/2021
