Elnur Gasanov - RankMe

16 papers A* 5A 2Journal 9

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants. ICLR Peter Richtárik, Elnur Gasanov, Konstantin Burlachenko
2024	J	`jnl`	Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants. CoRR Peter Richtárik, Elnur Gasanov, Konstantin Burlachenko
2024	A	`conf`	Understanding Progressive Training Through the Framework of Randomized Coordinate Descent. AISTATS Rafal Szlendak, Elnur Gasanov, Peter Richtárik
2023	J	`jnl`	Adaptive Compression for Communication-Efficient Distributed Training. Trans. Mach. Learn. Res. Maksim Makarenko, Elnur Gasanov, Abdurakhmon Sadiev, Rustem Islamov, Peter Richtárik
2023	J	`jnl`	Error Feedback Shines when Features are Rare. CoRR Peter Richtárik, Elnur Gasanov, Konstantin Burlachenko
2023	J	`jnl`	Understanding Progressive Training Through the Framework of Randomized Coordinate Descent. CoRR Rafal Szlendak, Elnur Gasanov, Peter Richtárik
2022	A*	`conf`	3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation. ICML Peter Richtárik, Igor Sokolov, Elnur Gasanov, Ilyas Fatkhullin, Zhize Li, Eduard Gorbunov
2022	J	`jnl`	3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation. CoRR Peter Richtárik, Igor Sokolov, Ilyas Fatkhullin, Elnur Gasanov, Zhize Li, Eduard Gorbunov
2022	J	`jnl`	Adaptive Compression for Communication-Efficient Distributed Training. CoRR Maksim Makarenko, Elnur Gasanov, Rustem Islamov, Abdurakhmon Sadiev, Peter Richtárik
2022	A	`conf`	FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning. AISTATS Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtárik
2021	J	`jnl`	FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning. CoRR Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtárik
2021	A*	`conf`	Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks. NeurIPS Dmitry Kovalev, Elnur Gasanov, Alexander V. Gasnikov, Peter Richtárik
2021	J	`jnl`	Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks. CoRR Dmitry Kovalev, Elnur Gasanov, Peter Richtárik, Alexander V. Gasnikov
2020	J	`jnl`	From Local SGD to Local Fixed Point Methods for Federated Learning. CoRR Grigory Malinovsky, Dmitry Kovalev, Elnur Gasanov, Laurent Condat, Peter Richtárik
2020	A*	`conf`	From Local SGD to Local Fixed-Point Methods for Federated Learning. ICML Grigory Malinovskiy, Dmitry Kovalev, Elnur Gasanov, Laurent Condat, Peter Richtárik
2018	A*	`conf`	Stochastic Spectral and Conjugate Descent Methods. NeurIPS Dmitry Kovalev, Peter Richtárik, Eduard Gorbunov, Elnur Gasanov