most citedDistributed Gradient Clustering: Convergence and the Effect of Initialization

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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…

math.OC2025

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…