Michael Diskin

According to our database, Michael Diskin authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient.

Max Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees.

Aleksandr Beznosikov, Peter Richtárik, Michael Diskin, Max Ryabinin, Alexander V. Gasnikov

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Secure Distributed Training at Scale.

Eduard Gorbunov, Alexander Borzunov, Michael Diskin, Max Ryabinin

Proceedings of the International Conference on Machine Learning, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Training Transformers Together.

Alexander Borzunov, Max Ryabinin, Tim Dettmers, Quentin Lhoest, Lucile Saulnier, Michael Diskin, Yacine Jernite, Thomas Wolf

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021