Gasanov, Elnur

9 publications

ICLR 2024 Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants Peter Richtárik, Elnur Gasanov, Konstantin Pavlovich Burlachenko

AISTATS 2024 Understanding Progressive Training Through the Framework of Randomized Coordinate Descent Rafał Szlendak, Elnur Gasanov, Peter Richtarik

TMLR 2023 Adaptive Compression for Communication-Efficient Distributed Training Maksim Makarenko, Elnur Gasanov, Abdurakhmon Sadiev, Rustem Islamov, Peter Richtárik

AISTATS 2022 FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtarik

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

NeurIPSW 2021 FedMix: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtárik

NeurIPS 2021 Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization over Time-Varying Networks Dmitry Kovalev, Elnur Gasanov, Alexander Gasnikov, Peter Richtarik

ICML 2020 From Local SGD to Local Fixed-Point Methods for Federated Learning Grigory Malinovskiy, Dmitry Kovalev, Elnur Gasanov, Laurent Condat, Peter Richtarik

NeurIPS 2018 Stochastic Spectral and Conjugate Descent Methods Dmitry Kovalev, Peter Richtarik, Eduard Gorbunov, Elnur Gasanov