Asynchronous Distributed Learning with Sparse Communications and Identification. - Dmitry Grishchenko; Franck Iutzeler; Jérôme Malick; Massih-Reza Amini (CoRR, 2018)

A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion. - Filip Hanzely; Jakub Konecný; Nicolas Loizou; Peter Richtárik; Dmitry Grishchenko (CoRR, 2019)

Sparse Asynchronous Distributed Learning. - Dmitry Grischenko; Franck Iutzeler; Massih-Reza Amini (ICONIP (5), 2020)

Randomized Progressive Hedging methods for multi-stage stochastic programming. - Gilles Bareilles; Yassine Laguel; Dmitry Grishchenko; Franck Iutzeler; Jérôme Malick (Ann. Oper. Res., 2020)

Implementation of framework for assessment of severe accident management effectiveness in Nordic BWR. - Sergey Galushin; Dmitry Grishchenko; Pavel Kudinov (Reliab. Eng. Syst. Saf., 2020)

Proximal optimization with automatic dimension reduction for large-scale learning. (Optimisation proximale avec réduction automatique de dimension). - Dmitry Grishchenko (2020)

Adaptive Catalyst for Smooth Convex Optimization. - Anastasiya Ivanova; Dmitry Pasechnyuk; Dmitry Grishchenko; Egor Shulgin; Alexander V. Gasnikov; Vladislav Matyukhin (OPTIMA, 2021)

Proximal Gradient Methods with Adaptive Subspace Sampling. - Dmitry Grishchenko; Franck Iutzeler; Jérôme Malick (Math. Oper. Res., 2021)

Distributed Learning with Sparse Communications by Identification. - Dmitry Grishchenko; Franck Iutzeler; Jérôme Malick; Massih-Reza Amini (SIAM J. Math. Data Sci., 2021)