Rustem Islamov

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Communication Overhead

Spatially Distributed

Image Compression

Top Venues

Trans. Mach. Learn. Res.

Publications

Rustem Islamov, Mher Safaryan, Dan Alistarh
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms. AISTATS (2024)
Rustem Islamov, Yuan Gao, Sebastian U. Stich
Near Optimal Decentralized Optimization with Compression and Momentum Tracking. CoRR (2024)
Yuan Gao, Rustem Islamov, Sebastian U. Stich
EControl: Fast Distributed Optimization with Compression and Error Control. ICLR (2024)
Yuan Gao, Rustem Islamov, Sebastian Stich
EControl: Fast Distributed Optimization with Compression and Error Control. CoRR (2023)
Konstantin Mishchenko, Rustem Islamov, Eduard Gorbunov, Samuel Horváth
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity. CoRR (2023)
Maksim Makarenko, Elnur Gasanov, Abdurakhmon Sadiev, Rustem Islamov, Peter Richtárik
Adaptive Compression for Communication-Efficient Distributed Training. Trans. Mach. Learn. Res. 2023 (2023)
Rustem Islamov, Xun Qian, Slavomír Hanzely, Mher Safaryan, Peter Richtárik
Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation. Trans. Mach. Learn. Res. 2023 (2023)
Sarit Khirirat, Eduard Gorbunov, Samuel Horváth, Rustem Islamov, Fakhri Karray, Peter Richtárik
Clip21: Error Feedback for Gradient Clipping. CoRR (2023)
Rustem Islamov, Mher Safaryan, Dan Alistarh
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms. CoRR (2023)
Xun Qian, Rustem Islamov, Mher Safaryan, Peter Richtárik
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning. AISTATS (2022)
Maksim Makarenko, Elnur Gasanov, Rustem Islamov, Abdurakhmon Sadiev, Peter Richtárik
Adaptive Compression for Communication-Efficient Distributed Training. CoRR (2022)
Mher Safaryan, Rustem Islamov, Xun Qian, Peter Richtárik
FedNL: Making Newton-Type Methods Applicable to Federated Learning. ICML (2022)
Rustem Islamov, Xun Qian, Slavomír Hanzely, Mher Safaryan, Peter Richtárik
Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation. CoRR (2022)
Xun Qian, Rustem Islamov, Mher Safaryan, Peter Richtárik
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning. CoRR (2021)
Rustem Islamov, Xun Qian, Peter Richtárik
Distributed Second Order Methods with Fast Rates and Compressed Communication. CoRR (2021)
Mher Safaryan, Rustem Islamov, Xun Qian, Peter Richtárik
FedNL: Making Newton-Type Methods Applicable to Federated Learning. CoRR (2021)
Rustem Islamov, Xun Qian, Peter Richtárik
Distributed Second Order Methods with Fast Rates and Compressed Communication. ICML (2021)