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FL_PyTorch: optimization research simulator for federated learning., , and . DistributedML@CoNEXT, page 1-7. ACM, (2021)Byzantine-Tolerant Methods for Distributed Variational Inequalities., , , , , , and . CoRR, (2023)Granger Causality using Neural Networks., , and . CoRR, (2022)Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad., , , , , and . CoRR, (2024)Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top., , , and . ICLR, OpenReview.net, (2023)High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29563-29648. PMLR, (2023)A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning., and . ICLR, OpenReview.net, (2021)High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise., , , , , , , and . ICML, OpenReview.net, (2024)Natural Compression for Distributed Deep Learning., , , , , and . MSML, volume 190 of Proceedings of Machine Learning Research, page 129-141. PMLR, (2022)Redefining Contributions: Shapley-Driven Federated Learning., , , , and . IJCAI, page 5009-5017. ijcai.org, (2024)