Abdurakhmon Sadiev
5 papers · 2022–2024 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Mathematics & Optimization
(4)
Optimization
(4)
Artificial Intelligence
(2)
Deep Learning
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(1)
Learning Types
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
stochastic optimization
(3)
variational inequalities
(2)
distributed optimization
(2)
communication complexity
(2)
variational inequality
(2)
federated learning
(2)
distributed learning
(1)
decentralized optimization
(1)
variance reduction
(1)
primal-dual algorithm
(1)
distributed training
(1)
saddle-point problems
(1)
convergence guarantee
(1)
distributed algorithm
(1)
gradient compression
(1)
communication compression
(1)
communication efficient
(1)
random reshuffling
(1)
without-replacement sampling
(1)
optimal algorithm
(1)
Papers
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
NeurIPS 2024
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise
ICML 2024
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
ICML 2023
Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox
NeurIPS 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
NeurIPS 2022