Publications

Dmitry Grishchenko, Franck Iutzeler, Massih-Reza Amini (2020). Sparse Asynchronous Distributed Learning.

Gilles Bareilles, Yassine Laguel, Dmitry Grishchenko, Franck Iutzeler, Jerome Malick (2020). Randomized Progressive Hedging methods for Multi-stage Stochastic Programming. to appear in ANOR.

Dmitry Grishchenko, Franck Iutzeler, Jerome Malick (2019). Proximal Gradient Methods with Adaptive Subspace Samplings. to appear in MOOR.

Anastasiya Ivanova, Dmitry Pasechnyuk, Dmitry Grishchenko, Egor Shulgin, Alexander Gasnikov (2019). Adaptive Catalyst for smooth convex optimization.

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

Filip Hanzley, Jakub Konecny, Nikolas Loizou, Peter Richtarik, Dmitry Grishchenko (2018). A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion. PPML NeurIPS 2018.

Filip Hanzley, Jakub Konecny, Nikolas Loizou, Peter Richtarik, Dmitry Grishchenko (2017). Privacy Preserving Randomized Gossip Algorithms.

Dmitry Grishchenko (2013). Origami: What One Can Get via Paper Folding (Rus).