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20132026
most citedOn the Sublinear Regret of Distributed Primal-Dual Algorithms for Online Constrained Optimization

34 citations · 83 across the 46 of their papers we have counts for

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Showing 2019 · math.OCShow all

5 papers · 2 filters

math.OC2019★ 4 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.OC2019

An Optimal Graph-Search Method for Secure State Estimation

Xusheng Luo, Miroslav Pajic, Michael M. Zavlanos

The growing complexity of modern Cyber-Physical Systems (CPS) and the frequent communication between their components make them vulnerable to malicious attacks. As a result, secure…