This paper provides a review of the consensus problem as one of the most challenging
issues in the distributed control of the multi-agent systems (MASs). In this survey, firstly, the …

This paper reviews some main results and progress in distributed multi-agent coordination,
focusing on papers published in major control systems and robotics journals since 2006 …

While training a machine learning model using multiple workers, each of which collects data
from its own data source, it would be useful when the data collected from different workers …

Optimizing distributed learning systems is an art of balancing between computation and
communication. There have been two lines of research that try to deal with slower …

This paper presents an overview on the recent advances in the research of security of cyber–
physical systems. We place particular emphases on consensus problems for multi-agent …

Collective control of a multiagent system is concerned with designing strategies for a group
of autonomous agents operating in a networked environment. The aim is to achieve a global …

Recent years have witnessed a trend to use networked multiple autonomous agents to
accomplish complex tasks arising from space-based applications, smart grids, and machine …

We study the average consensus problem of multi-agent systems for general network
topologies with unidirectional information flow. We propose two linear distributed algorithms …

We consider the problem of multiagent consensus where some agents are subject to
faults/attacks and might make updates arbitrarily. The network consists of agents taking …

In this paper, the recent developments of distributed coordination control problems are
summarized in a graph-theory-based framework. Distributed coordination has attracted …