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Igor Sokolov
Igor Sokolov
Ph.D. student, KAUST
Verified email at kaust.edu.sa - Homepage
Title
Cited by
Cited by
Year
EF21: A new, simpler, theoretically better, and practically faster error feedback
P Richtárik, I Sokolov, I Fatkhullin
Advances in Neural Information Processing Systems 34, 4384-4396, 2021
1552021
EF21 with bells & whistles: Practical algorithmic extensions of modern error feedback
I Fatkhullin, I Sokolov, E Gorbunov, Z Li, P Richtárik
arXiv preprint arXiv:2110.03294, 2021
532021
3PC: Three point compressors for communication-efficient distributed training and a better theory for lazy aggregation
P Richtárik, I Sokolov, E Gasanov, I Fatkhullin, Z Li, E Gorbunov
International Conference on Machine Learning, 18596-18648, 2022
322022
A guide through the zoo of biased SGD
Y Demidovich, G Malinovsky, I Sokolov, P Richtárik
Advances in Neural Information Processing Systems 36, 23158-23171, 2023
302023
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
272022
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning
K Yi, T Kharisov, I Sokolov, P Richtárik
arXiv preprint arXiv:2406.01115, 2024
22024
MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizes
I Sokolov, P Richtárik
arXiv preprint arXiv:2412.17082, 2024
2024
Non-convex Stochastic Optimization With Biased Gradient Estimators
I Sokolov
King Abdullah University of Science and Technology, 2022
2022
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Articles 1–8