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 …

The paper investigates the synchronization of a network of identical linear time-invariant
state-space models under a possibly time-varying and directed interconnection structure …

This paper describes a new consensus-based protocol, referred to as Average TimeSync
(ATS), for synchronizing the clocks of a wireless sensor network. This algorithm is based on …

This paper considers time synchronization in wireless sensor networks. When the
communication delay is negligible, the maximum time synchronization (MTS) protocol is …

The emerging Federated Learning (FL) enables IoT devices to collaboratively learn a
shared model based on their local datasets. However, due to end devices' heterogeneity, it …

In this chapter we present a popular class of distributed algorithms, known as linear
consensus algorithms, which have the ability to compute the global average of local …

The alternating direction multipliers method (ADMM) has been recently proposed as a
practical and efficient algorithm for distributed computing. We discuss its applicability to the …

As data privacy becomes increasingly important, federated learning applied to the training of
deep learning models while ensuring the data privacy of devices is entering the spotlight …

In this paper a distributed algorithm for clock synchronization is proposed. This algorithm is
based on an extension of the linear consensus algorithm which is able to synchronize a …

In this paper, we propose a multiplex proportional–integral approach, for solving consensus
problems in networks of heterogeneous nodes dynamics affected by constant disturbances …