Publications

Igor Sokolov, Peter Richtárik (2024). MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizes. arXiv.

Kai Yi, Timur Kharisov, Igor Sokolov, Peter Richtárik (2024). Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning. FL@FM-NeurIPS 2024 Workshop (Oral).

Yury Demidovich, Grigory Malinovsky, Igor Sokolov, Peter Richtárik (2023). A Guide Through the Zoo of Biased SGD. NeurIPS 2023 (Poster).

Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov, Igor Sokolov, Ahmed Khaled, Konstantin Pavlovich Burlachenko, Peter Richtárik (2022). Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences. NeurIPS 2024 (Poster).

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

Ilyas Fatkhullin, Igor Sokolov, Eduard Gorbunov, Zhize Li, Peter Richtárik (2021). EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback. arXiv.

Peter Richtárik, Igor Sokolov, Ilyas Fatkhullin (2021). EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback. NeurIPS 2021 (Oral + Poster).