Distributed online optimization and online games have been increasingly researched in the
last decade, mostly motivated by their wide applications in sensor networks, robotics (eg …

In decentralized optimization, nodes cooperate to minimize an overall objective function that
is the sum (or average) of per-node private objective functions. Algorithms interleave local …

The presence of embedded electronics and communication capabilities as well as sensing
and control in smart devices has given rise to the novel concept of cyber-physical networks …

This article investigates the distributed online optimization problem over a multi-agent
network subject to local set constraints and coupled inequality constraints, which has a lot of …

Distributed optimization consists of multiple computation nodes working together to minimize
a common objective function through local computation iterations and network-constrained …

This article investigates distributed online convex optimization in the presence of an
aggregative variable without any global/central coordinators over a multiagent network. In …

In this article, we consider an online distributed composite optimization problem over a time-
varying multiagent network that consists of multiple interacting nodes, where the objective …

This article investigates the problem of distributed online optimization for a group of units
communicating on time-varying unbalanced directed networks. The main target of the set of …

Federated learning (FL) has recently emerged as a popular framework for training a model
via periodic coordination between a set of clients and a central server. The training task is …

In this article, we consider distributed online convex optimization problems, where the
distributed system consists of various computing units connected through a time-varying …