フォロー
Rustem Islamov
Rustem Islamov
PhD student, University of Basel
確認したメール アドレス: unibas.ch - ホームページ
タイトル
引用先
引用先
年
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
912021
Distributed second order methods with fast rates and compressed communication
R Islamov, X Qian, P Richtárik
International conference on machine learning, 4617-4628, 2021
632021
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
262021
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms
R Islamov, M Safaryan, D Alistarh
the 27th International Conference on Artificial Intelligence and Statistics, 2023
152023
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
142022
Adaptive compression for communication-efficient distributed training
M Makarenko, E Gasanov, R Islamov, A Sadiev, P Richtárik
Transactions on Machine Learning Research, 2022
112022
Clip21: Error feedback for gradient clipping
S Khirirat, E Gorbunov, S Horváth, R Islamov, F Karray, P Richtárik
arXiv preprint arXiv:2305.18929, 2023
102023
Partially personalized federated learning: Breaking the curse of data heterogeneity
K Mishchenko, R Islamov, E Gorbunov, S Horváth
Transactions on Machine Learning Research, 2025
82025
EControl: Fast Distributed Optimization with Compression and Error Control
Y Gao, R Islamov, S Stich
International Conference on Learning Representations, 2024
82024
Loss Landscape Characterization of Neural Networks without Over-Parametrization
R Islamov, N Ajroldi, A Orvieto, A Lucchi
Advances in Neural Information Processing Systems 37, 1-43, 2024
32024
Towards Faster Decentralized Stochastic Optimization with Communication Compression
R Islamov, Y Gao, S Stich
International Conference on Learning Representations, 2025
2*2025
Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise
EM Compagnoni, T Liu, R Islamov, FN Proske, A Orvieto, A Lucchi
arXiv preprint arXiv:2411.15958, 2024
22024
Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs
EM Compagnoni, R Islamov, FN Proske, A Lucchi
arXiv preprint arXiv:2502.17009, 2025
2025
Double Momentum and Error Feedback for Clipping with Fast Rates and Differential Privacy
R Islamov, S Horvath, A Lucchi, P Richtarik, E Gorbunov
arXiv preprint arXiv:2502.11682, 2025
2025
Enhancing Optimizer Stability: Momentum Adaptation of NGN Step-size
R Islamov, N Ajroldi, A Orvieto, A Lucchi
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