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10/31/2022
Adaptive Compression for Communication-Efficient Distributed Training
We propose Adaptive Compressed Gradient Descent (AdaCGD) - a novel optim...
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07/08/2022
Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with Inexact Prox
Inspired by a recent breakthrough of Mishchenko et al (2022), who for th...
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06/01/2022
Stochastic Gradient Methods with Preconditioned Updates
This work considers non-convex finite sum minimization. There are a numb...
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06/14/2021
Decentralized Personalized Federated Min-Max Problems
Personalized Federated Learning has recently seen tremendous progress, a...
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09/21/2020
Zeroth-Order Algorithms for Smooth Saddle-Point Problems
In recent years, the importance of saddle-point problems in machine lear...
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05/12/2020