Articles by Michael Diskin | Synthical

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6

A critical look at the evaluation of GNNs under heterophily: Are we really making progress?

2 March 2024 by Oleg Platonov and others

Machine Learning

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

29 June 2023 by Max Ryabinin and others

Distributed, Parallel, and Cluster Computing, Machine Learning

Training Transformers Together

7 July 2022 by Alexander Borzunov and others

Machine Learning, Distributed, Parallel, and Cluster Computing

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

22 May 2022 by Aleksandr Beznosikov and others

Machine Learning

Distributed Deep Learning in Open Collaborations

8 November 2021 by Michael Diskin and others

Machine Learning, Distributed, Parallel, and Cluster Computing

Secure Distributed Training at Scale

7 October 2021 by Eduard Gorbunov and others

Machine Learning, Distributed, Parallel, and Cluster Computing

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Machine Learning Distributed, Parallel, and Cluster Computing Optimization and Control