3 citations · 3 across the 11 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
math.OC2024
Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities
Daniil Medyakov, Gleb Molodtsov, Aleksandr Beznosikov
Variational inequalities as an effective tool for solving applied problems, including machine learning tasks, have been attracting more and more attention from researchers in recen…
math.OC2024★ 3 cited
Optimal Data Splitting in Distributed Optimization for Machine Learning
Daniil Medyakov, Gleb Molodtsov, Aleksandr Beznosikov +1
The distributed optimization problem has become increasingly relevant recently. It has a lot of advantages such as processing a large amount of data in less time compared to non-di…