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math.OC2026
Decentralized Nonconvex Optimization under Heavy-Tailed Noise: Normalization and Optimal Convergence
Shuhua Yu, Dusan Jakovetic, Soummya Kar
Heavy-tailed noise in nonconvex stochastic optimization has garnered increasing research interest, as empirical studies, including those on training attention models, suggest it is…
math.OC2025
Distributed Truncated Predictive Control for Networked Systems under Uncertainty: Stability and Near-Optimality Guarantee
Eric Xu, Soummya Kar, Guannan Qu
We study the problem of distributed online control of networked systems with time-varying cost functions and disturbances, where each node only has local information of the states…
math.OC2025
Distributed gradient methods under heavy-tailed communication noise
Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic +1
We consider a standard distributed optimization problem in which networked nodes collaboratively minimize the sum of their locally known convex costs. For this setting, we address…