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Training Transformers Together., , , , , , , и . CoRR, (2022)Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees., , , , и . CoRR, (2021)Secure Distributed Training at Scale., , , и . CoRR, (2021)Training Transformers Together., , , , , , , и . NeurIPS (Competition and Demos), том 176 из Proceedings of Machine Learning Research, стр. 335-342. PMLR, (2021)A critical look at the evaluation of GNNs under heterophily: Are we really making progress?, , , , и . ICLR, OpenReview.net, (2023)SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 29416-29440. PMLR, (2023)Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees., , , , и . NeurIPS, (2022)Distributed Deep Learning In Open Collaborations., , , , , , , , , и 6 other автор(ы). NeurIPS, стр. 7879-7897. (2021)Secure Distributed Training at Scale., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 7679-7739. PMLR, (2022)