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