In distributed optimization of multi-agent systems, agents cooperate to minimize a global
function which is a sum of local objective functions. Motivated by applications including …

This monograph provides an overview of distributed online optimization in multi-agent
systems. Online optimization approaches planning and decision problems from a robust …

This paper studies a distributed online constrained optimization problem over time-varying
unbalanced digraphs without explicit subgradients. In sharp contrast to the existing …

We extend the regret analysis of the online distributed weighted dual averaging (DWDA)
algorithm from Hosseini et al. to the dynamic setting and provide the tightest dynamic regret …

This article studies online stochastic optimization, where the random parameters follow time-
varying distributions. In each time slot, after a control variable is determined, a sample drawn …

The work studies how node-to-node communications over an Erd\H {o} sR\'enyi random
network influence distributed online convex optimization, which is vital in solving large-scale …

In this article, we consider groups of agents in a network that select actions in order to satisfy
aset of constraints that vary arbitrarily over time and minimize a time varying function of …

We consider a distributed online optimization problem where, at each time, a group of
agents choose their individual states, after which an individual cost function is revealed to …

This article considers a time-varying optimization problem associated with a network of
systems, with each of the systems shared by (and affecting) a number of individuals. The …

In this paper, we present a novel method for convex optimization in distributed networks
called the distributed method of multipliers (DMM). The proposed method is based on a …