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Stochastic Gradient Methods with Preconditioned Updates., , , , , and . CoRR, (2022)Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities., and . CoRR, (2023)On Biased Compression for Distributed Learning., , , and . CoRR, (2020)Decentralized Local Stochastic Extra-Gradient for Variational Inequalities., , , , , and . NeurIPS, (2022)Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes., , , , , , , and . EURO J. Comput. Optim., (2022)Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting., and . CoRR, (2023)Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features., , and . CoRR, (2023)Non-smooth setting of stochastic decentralized convex optimization problem over time-varying Graphs., , , , , and . Comput. Manag. Sci., 20 (1): 48 (December 2023)Distributed Saddle-Point Problems Under Data Similarity., , , and . NeurIPS, page 8172-8184. (2021)Stochastic Gradient Methods with Preconditioned Updates., , , , , and . J. Optim. Theory Appl., 201 (2): 471-489 (May 2024)