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SGD and Hogwild! Convergence Without the Bounded Gradients Assumption, , , , , и . (2018)cite arxiv:1802.03801.Optimal diagnostic tests for sporadic Creutzfeldt-Jakob disease based on support vector machine classification of RT-QuIC data, , , и . CoRR, (2012)Coordinate Descent Faceoff: Primal or Dual?, и . ALT, том 83 из Proceedings of Machine Learning Research, стр. 246-267. PMLR, (2018)SGD with Arbitrary Sampling: General Analysis and Improved Rates., , , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 5200-5209. PMLR, (2019)Distributed Coordinate Descent Method for Learning with Big Data., и . CoRR, (2013)Federated Learning with Regularized Client Participation., , , и . CoRR, (2023)Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning., , и . CoRR, (2023)Matrix Completion Under Interval Uncertainty: Highlights., , и . ECML/PKDD (3), том 11053 из Lecture Notes in Computer Science, стр. 621-625. Springer, (2018)Federated Learning is Better with Non-Homomorphic Encryption., , , и . DistributedML@CoNEXT, стр. 49-84. ACM, (2023)Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques., , и . NeurIPS, (2022)