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Publications in Math-Net.Ru |
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2023 |
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J. Chen, A. V. Lobanov, A. V. Rogozin, “Distributed min-max optimization using the smoothing technique”, Computer Research and Modeling, 15:2 (2023), 469–480 |
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D. D. Vostrikov, G. O. Konin, A. V. Lobanov, V. V. Matyukhin, “Influence of the mantissa finiteness on the accuracy of gradient-free optimization methods”, Computer Research and Modeling, 15:2 (2023), 259–280 |
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B. A. Alashkar, A. V. Gasnikov, D. M. Dvinskikh, A. V. Lobanov, “Gradient-free federated learning methods with $l_1$ and $l_2$-randomization for non-smooth convex stochastic optimization problems”, Zh. Vychisl. Mat. Mat. Fiz., 63:9 (2023), 1458–1512 ; Comput. Math. Math. Phys., 63:9 (2023), 1600–1653 |
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2020 |
4. |
A. V. Panteleev, A. V. Lobanov, “Mini-batch adaptive random search method for the parametric identification of dynamic systems”, Avtomat. i Telemekh., 2020, no. 11, 112–135 ; Autom. Remote Control, 81:11 (2020), 2026–2045 |
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