A. Gasnikov

activity

20222026

most citedGradient-free algorithm for saddle point problems under overparametrization

3 citations · 10 across the 19 of their papers we have counts for

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math.OC2022★ 3 cited

Gradient-Free Federated Learning Methods with $l_{1}$ and $l_{2}$ -Randomization for Non-Smooth Convex Stochastic Optimization Problems

Aleksandr Lobanov, Belal Alashqar, Darina Dvinskikh +1

This paper studies non-smooth problems of convex stochastic optimization. Using the smoothing technique based on the replacement of the function value at the considered point by th…

math.OC2022

Effects of momentum scaling for SGD

Dmitry A. Pasechnyuk, Alexander Gasnikov, Martin Takáč

The paper studies the properties of stochastic gradient methods with preconditioning. We focus on momentum updated preconditioners with momentum coefficient $β$ . Seeking to explain…

Gradient-Free Federated Learning Methods with l1​ and l2​-Randomization for Non-Smooth Convex Stochastic Optimization Problems

Effects of momentum scaling for SGD

Gradient-Free Federated Learning Methods with $l_{1}$ and $l_{2}$ -Randomization for Non-Smooth Convex Stochastic Optimization Problems