1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Tackling heavy-tailed noise in distributed estimation: Asymptotic performance and tradeoffs
Dragana Bajovic, Dusan Jakovetic, Soummya Kar +1
We present an algorithm for distributed estimation of an unknown vector parameter in the presence of heavy-tailed observation and communicatio…
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…
Nonlinear consensus+innovations under correlated heavy-tailed noises: Mean square convergence rate and asymptotics
Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic +1
We consider distributed recursive estimation of consensus+innovations type in the presence of heavy-tailed sensing and communication noises. We allow that the sensing and communica…