Abdurakhmon Sadiev
Abdurakhmon Sadiev
PhD student, KAUST
Verified email at
Cited by
Cited by
Gradient-free methods with inexact oracle for convex-concave stochastic saddle-point problem
A Beznosikov, A Sadiev, A Gasnikov
International Conference on Mathematical Optimization Theory and Operations …, 2020
Solving smooth min-min and min-max problems by mixed oracle algorithms
E Gladin, A Sadiev, A Gasnikov, P Dvurechensky, A Beznosikov, ...
International Conference on Mathematical Optimization Theory and Operations …, 2021
Zeroth-order algorithms for smooth saddle-point problems
A Sadiev, A Beznosikov, P Dvurechensky, A Gasnikov
International Conference on Mathematical Optimization Theory and Operations …, 2021
Optimal algorithms for decentralized stochastic variational inequalities
D Kovalev, A Beznosikov, A Sadiev, M Persiianov, P Richtárik, ...
Advances in Neural Information Processing Systems 35, 31073-31088, 2022
Decentralized personalized federated min-max problems
A Beznosikov, V Sushko, A Sadiev, A Gasnikov
arXiv preprint arXiv:2106.07289, 2021
Communication acceleration of local gradient methods via an accelerated primal-dual algorithm with inexact prox
A Sadiev, D Kovalev, P Richtárik
arXiv preprint arXiv:2207.03957, 2022
Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes
A Sadiev, E Borodich, A Beznosikov, D Dvinskikh, S Chezhegov, ...
EURO Journal on Computational Optimization 10, 100041, 2022
High-probability bounds for stochastic optimization and variational inequalities: the case of unbounded variance
A Sadiev, M Danilova, E Gorbunov, S Horváth, G Gidel, P Dvurechensky, ...
arXiv preprint arXiv:2302.00999, 2023
Ai-sarah: Adaptive and implicit stochastic recursive gradient methods
Z Shi, A Sadiev, N Loizou, P Richtárik, M Takáč
arXiv preprint arXiv:2102.09700, 2021
Federated optimization algorithms with random reshuffling and gradient compression
A Sadiev, G Malinovsky, E Gorbunov, I Sokolov, A Khaled, K Burlachenko, ...
arXiv preprint arXiv:2206.07021, 2022
Adaptive compression for communication-efficient distributed training
M Makarenko, E Gasanov, R Islamov, A Sadiev, P Richtárik
arXiv preprint arXiv:2211.00188, 2022
Stochastic gradient methods with preconditioned updates
A Sadiev, A Beznosikov, AJ Almansoori, D Kamzolov, R Tappenden, ...
arXiv preprint arXiv:2206.00285, 2022
An Approach for Non-convex Uniformly Concave Structured Saddle Point Problem
M Alkousa, A Gasnikov, P Dvurechensky, A Sadiev, L Razouk
arXiv preprint arXiv:2202.06376, 2022
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Articles 1–13