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2020 – today
- 2024
[c7]Rafal Szlendak, Elnur Gasanov, Peter Richtárik:
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent. AISTATS 2024: 2161-2169- [c6]Peter Richtárik, Elnur Gasanov, Konstantin Burlachenko:
Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants. ICLR 2024 - [i8]Peter Richtárik, Elnur Gasanov, Konstantin Burlachenko:
Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants. CoRR abs/2402.10774 (2024) - 2023
- [j1]Maksim Makarenko, Elnur Gasanov, Abdurakhmon Sadiev, Rustem Islamov, Peter Richtárik:
Adaptive Compression for Communication-Efficient Distributed Training. Trans. Mach. Learn. Res. 2023 (2023) - [i7]Peter Richtárik, Elnur Gasanov, Konstantin Burlachenko:
Error Feedback Shines when Features are Rare. CoRR abs/2305.15264 (2023) - [i6]Rafal Szlendak, Elnur Gasanov, Peter Richtárik:
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent. CoRR abs/2306.03626 (2023) - 2022
- [c5]Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtárik:
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning. AISTATS 2022: 11374-11421 - [c4]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: 18596-18648 - [i5]Peter Richtárik
, Igor Sokolov, Ilyas Fatkhullin, Elnur Gasanov, Zhize Li, Eduard Gorbunov:
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation. CoRR abs/2202.00998 (2022) - [i4]Maksim Makarenko, Elnur Gasanov, Rustem Islamov, Abdurakhmon Sadiev, Peter Richtárik:
Adaptive Compression for Communication-Efficient Distributed Training. CoRR abs/2211.00188 (2022) - 2021
- [c3]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: 22325-22335 - [i3]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 abs/2106.04469 (2021) - [i2]Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtárik:
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning. CoRR abs/2111.11556 (2021) - 2020
- [c2]Grigory Malinovskiy, Dmitry Kovalev, Elnur Gasanov, Laurent Condat, Peter Richtárik:
From Local SGD to Local Fixed-Point Methods for Federated Learning. ICML 2020: 6692-6701 - [i1]Grigory Malinovsky, Dmitry Kovalev, Elnur Gasanov, Laurent Condat, Peter Richtárik:
From Local SGD to Local Fixed Point Methods for Federated Learning. CoRR abs/2004.01442 (2020)
2010 – 2019
- 2018
- [c1]Dmitry Kovalev, Peter Richtárik, Eduard Gorbunov, Elnur Gasanov:
Stochastic Spectral and Conjugate Descent Methods. NeurIPS 2018: 3362-3371
Coauthor Index
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