Optimal Data Splitting in Distributed Optimization for Machine Learning. - Daniil Medyakov; Gleb Molodtsov; Aleksandr Beznosikov; Alexander V. Gasnikov (CoRR, 2024)

When Extragradient Meets PAGE: Bridging Two Giants to Boost Variational Inequalities. - Gleb Molodtsov; Valery Parfenov; Egor Petrov; Grigoriy Evseev; Daniil Medyakov; Aleksandr Beznosikov (UAI, 2025)

Variance Reduction Methods Do Not Need to Compute Full Gradients: Improved Efficiency through Shuffling. - Daniil Medyakov; Gleb Molodtsov; Saveliy Chezhegov; Alexey Rebrikov; Aleksandr Beznosikov (CoRR, 2025)

Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy. - Gleb Molodtsov; Daniil Medyakov; Sergey Skorik; Nikolas Khachaturov; Shahane Tigranyan; Vladimir Aletov; Aram Avetisyan; Martin Takác 001; Aleksandr Beznosikov (CoRR, 2025)

Sign-SGD is the Golden Gate between Multi-Node to Single-Node Learning: Significant Boost via Parameter-Free Optimization. - Daniil Medyakov; Sergey Stanko; Gleb Molodtsov; Philip Zmushko; Grigoriy Evseev; Egor Petrov; Aleksandr Beznosikov (CoRR, 2025)