Diskin, Michael

5 publications

ICLR 2023 A Critical Look at the Evaluation of GNNs Under Heterophily: Are We Really Making Progress? Oleg Platonov, Denis Kuznedelev, Michael Diskin, Artem Babenko, Liudmila Prokhorenkova

ICML 2023 SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient Max Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov

NeurIPS 2022 Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees Aleksandr Beznosikov, Peter Richtarik, Michael Diskin, Max Ryabinin, Alexander Gasnikov

ICML 2022 Secure Distributed Training at Scale Eduard Gorbunov, Alexander Borzunov, Michael Diskin, Max Ryabinin

NeurIPS 2021 Distributed Deep Learning in Open Collaborations Michael Diskin, Alexey Bukhtiyarov, Max Ryabinin, Lucile Saulnier, Quentin Lhoest, Anton Sinitsin, Dmitry Popov, Dmitry V. Pyrkin, Maxim Kashirin, Alexander Borzunov, Albert Villanova del Moral, Denis Mazur, Ilia Kobelev, Yacine Jernite, Thomas Wolf, Gennady Pekhimenko