Elnur Gasanov

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Computationally Costly

Distributed Control

Global Optimality

Top Venues

Publications

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