34 citations · 77 across the 16 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
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…
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…