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On Malicious Agents in Non-Bayesian Social Learning with Uncertain Models., , , and . FUSION, page 1-8. IEEE, (2019)Approximate Wasserstein attraction flows for dynamic mass transport over networks., , and . Autom., (2022)On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs., and . ACC, page 3532-3537. IEEE, (2019)Application of Wasserstein Attraction Flows for Optimal Transport in Network Systems., , and . CDC, page 4058-4063. IEEE, (2021)Hybrid Robust Optimal Resource Allocation with Momentum., , , and . CDC, page 3954-3959. 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)Computation-aware distributed optimization over networks: a hybrid dynamical systems approach., , and . CAADCPS@CPSIoTWeek, page 18-19. ACM, (2021)An Optimal Transport Approach for Network Regression., , , , and . CoRR, (2024)Efficient Path Planning with Soft Homology Constraints., , and . CoRR, (2024)