Sokolov, Igor

7 publications

JMLR 2025 EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback Ilyas Fatkhullin, Igor Sokolov, Eduard Gorbunov, Zhize Li, Peter Richtárik

NeurIPSW 2024 Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning Kai Yi, Timur Kharisov, Igor Sokolov, Peter Richtárik

NeurIPS 2024 Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov, Igor Sokolov, Ahmed Khaled, Konstantin Burlachenko, Peter Richtárik

NeurIPS 2023 A Guide Through the Zoo of Biased SGD Yury Demidovich, Grigory Malinovsky, Igor Sokolov, Peter Richtarik

ICMLW 2023 Federated Optimization Algorithms with Random Reshuffling and Gradient Compression Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov, Igor Sokolov, Ahmed Khaled, Konstantin Pavlovich Burlachenko, Peter Richtárik

ICML 2022 3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation Peter Richtarik, Igor Sokolov, Elnur Gasanov, Ilyas Fatkhullin, Zhize Li, Eduard Gorbunov

NeurIPS 2021 EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback Peter Richtarik, Igor Sokolov, Ilyas Fatkhullin