D. Medyakov, G. Molodtsov, A. Beznosikov, A. Gasnikov, “Optimal data splitting in distributed optimization for machine learning”, Dokl. RAN. Math. Inf. Proc. Upr., 514:2 (2023), 343–354; Dokl. Math., 108:suppl. 2 (2023), S465–S475
2.
A. Pichugin, M. Pechin, A. Beznosikov, A. Savchenko, A. Gasnikov, “Optimal analysis of method with batching for monotone stochastic finite-sum variational inequalities”, Dokl. RAN. Math. Inf. Proc. Upr., 514:2 (2023), 212–224; Dokl. Math., 108:suppl. 2 (2023), S348–S359
3.
M. I. Rudakov, A. N. Beznosikov, Y. A. Kholodov, A. V. Gasnikov, “Activations and gradients compression for model-parallel training”, Dokl. RAN. Math. Inf. Proc. Upr., 514:2 (2023), 126–137; Dokl. Math., 108:suppl. 2 (2023), S272–S281
4.
A. N. Beznosikov, A. V. Gasnikov, K. E. Zainullina, A. Yu. Maslovskii, D. A. Pasechnyuk, “A unified analysis of variational inequality methods: variance reduction, sampling, quantization, and coordinate descent”, Zh. Vychisl. Mat. Mat. Fiz., 63:2 (2023), 189–217; Comput. Math. Math. Phys., 63:2 (2023), 147–174
A. I. Bazarova, A. N. Beznosikov, A. V. Gasnikov, “Linearly convergent gradient-free methods for minimization of parabolic approximation”, Computer Research and Modeling, 14:2 (2022), 239–255
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