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DropCompute: simple and more robust distributed synchronous training via compute variance reduction.

, , , , , , , и . CoRR, (2023)

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Measuring Explainability and Trustworthiness of Power Quality Disturbances Classifiers Using XAI - Explainable Artificial Intelligence., , , , и . IEEE Trans. Ind. Informatics, 18 (8): 5127-5137 (2022)Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge., , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 436-445. PMLR, (2021)High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize., , и . ICLR, OpenReview.net, (2022)DoCoFL: Downlink Compression for Cross-Device Federated Learning., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 8356-8388. PMLR, (2023)Adapting to Mixing Time in Stochastic Optimization with Markovian Data., и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 5429-5446. PMLR, (2022)On Graduated Optimization for Stochastic Non-Convex Problems., , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 1833-1841. JMLR.org, (2016)Online Variance Reduction with Mixtures., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 705-714. PMLR, (2019)DropCompute: simple and more robust distributed synchronous training via compute variance reduction., , , , , , , и . CoRR, (2023)Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms., , , и . NIPS, стр. 486-496. (2017)