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20132022
most citedOn the Sublinear Regret of Distributed Primal-Dual Algorithms for Online Constrained Optimization

34 citations · 77 across the 16 of their papers we have counts for

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8 papers · 1 filter

math.OC20211 cited

Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback

Yi Shen, Yan Zhang, Scott Nivison +2

We consider a zeroth-order distributed optimization problem, where the global objective function is a black-box function and, as such, its gradient information is inaccessible to t…

math.OC20194 cited

A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret

Yan Zhang, Robert J. Ravier, Michael M. Zavlanos +1

In this paper, we consider the problem of distributed online convex optimization, where a network of local agents aim to jointly optimize a convex function over a period of multipl…

math.OC2019

Distributed Online Convex Optimization with Improved Dynamic Regret

Yan Zhang, Robert J. Ravier, Vahid Tarokh +1

In this paper, we consider the problem of distributed online convex optimization, where a group of agents collaborate to track the global minimizers of a sum of time-varying object…

math.OC2019

Gradient-Free Multi-Agent Nonconvex Nonsmooth Optimization

Davood Hajinezhad, Michael Zavlanos

In this paper, we consider the problem of minimizing the sum of nonconvex and possibly nonsmooth functions over a connected multi-agent network, where the agents have partial knowl…

math.OC2019

Distributed Constrained Online Learning

Santiago Paternain, Soomin Lee, Michael M. Zavlanos +1

In this paper, we consider groups of agents in a network that select actions in order to satisfy a set of constraints that vary arbitrarily over time and minimize a time-varying fu…

math.OC2018

Augmented Lagrangian Optimization under Fixed-Point Arithmetic

Yan Zhang, Michael M. Zavlanos

In this paper, we propose an inexact Augmented Lagrangian Method (ALM) for the optimization of convex and nonsmooth objective functions subject to linear equality constraints and b…