most citedTackling heavy-tailed noise in distributed estimation: Asymptotic performance and tradeoffs

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math.OC2026

Robust stochastic first order methods in heavy-tailed noise via medoid mini-batch gradient sampling

Manojlo Vukovic, Dusan Jakovetic

We consider a first order stochastic optimization framework where, at each iteration, independent identically distributed (i.i.d.) data point samples are drawn, based on which…

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…