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Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODE.

, , , and . ACC, page 3408-3413. IEEE, (2019)

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On the Complexity of Approximating Wasserstein Barycenter., , , , , and . CoRR, (2019)Generalized Self-concordant Hessian-barrier algorithms., , and . CoRR, (2019)Non-Bayesian Social Learning with Gaussian Uncertain Models., , , and . CoRR, (2019)On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs., and . CoRR, (2018)On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs., and . ACC, page 3532-3537. IEEE, (2019)Gradient Methods for Problems with Inexact Model of the Objective., , , , , , , , , and 1 other author(s). MOTOR, volume 11548 of Lecture Notes in Computer Science, page 97-114. Springer, (2019)Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters., , , , and . NeurIPS, page 10783-10793. (2018)Faster Convergence of Local SGD for Over-Parameterized Models., , and . CoRR, (2022)Application of Wasserstein Attraction Flows for Optimal Transport in Network Systems., , and . CDC, page 4058-4063. IEEE, (2021)Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints., , and . CoRR, (2018)