3 citations · 3 across the 11 of their papers we have counts for
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Shuffling Heuristic in Variational Inequalities: Establishing New Convergence Guarantees
Daniil Medyakov, Gleb Molodtsov, Grigoriy Evseev +2
Variational inequalities have gained significant attention in machine learning and optimization research. While stochastic methods for solving these problems typically assume indep…
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…
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…