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Rustem Islamov
Rustem Islamov
PhD student, University of Basel
Подтвержден адрес электронной почты в домене unibas.ch - Главная страница
Название
Процитировано
Процитировано
Год
FedNL: Making Newton-type methods applicable to federated learning
M Safaryan, R Islamov, X Qian, P Richtárik
International Conference on Machine Learning (ICML 2022), 2021
682021
Distributed second order methods with fast rates and compressed communication
R Islamov, X Qian, P Richtárik
International conference on machine learning, 4617-4628, 2021
492021
Basis matters: better communication-efficient second order methods for federated learning
X Qian, R Islamov, M Safaryan, P Richtárik
24th International Conference on Artificial Intelligence and Statistics …, 2021
192021
Distributed Newton-type methods with communication compression and bernoulli aggregation
R Islamov, X Qian, S Hanzely, M Safaryan, P Richtárik
Transactions on Machine Learning Research, 2022
72022
Partially personalized federated learning: Breaking the curse of data heterogeneity
K Mishchenko, R Islamov, E Gorbunov, S Horváth
arXiv preprint arXiv:2305.18285, 2023
42023
Adaptive compression for communication-efficient distributed training
M Makarenko, E Gasanov, R Islamov, A Sadiev, P Richtárik
Transactions on Machine Learning Research, 2022
32022
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms
R Islamov, M Safaryan, D Alistarh
the 26th International Conference on Artificial Intelligence and Statistics, 2023
22023
Clip21: Error feedback for gradient clipping
S Khirirat, E Gorbunov, S Horváth, R Islamov, F Karray, P Richtárik
arXiv preprint arXiv:2305.18929, 2023
12023
EControl: Fast Distributed Optimization with Compression and Error Control
Y Gao, R Islamov, S Stich
International Conference on Learning Representations, 2023
2023
Research Project Efficiency of Primal-Dual Hybrid Gradient method
R Islamov, O Fercoq
2021
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