This paper investigates the problem of resilient consensus under malicious attacks for
multiagent systems. Compared with most of existing works, a more general attack model is …

Wireless sensor networks (WSNs) can provide numerous benefits in industrial automation.
By removing the cable infrastructure, the wireless architecture enables the possibility for …

Decentralized optimization has become a standard paradigm for solving large-scale
decision-making problems and training large machine learning models without centralizing …

An energy-efficient estimation of an aggregate function can significantly optimize a global
event detection or monitoring in wireless sensor networks. This is probably the main reason …

We address the problem of distributed estimation of a vector-valued parameter performed by
a wireless sensor network in the presence of noisy observations which may be unreliable …

This paper presents the formulation of fault detection and accommodation schemes for a
network of autonomous agents running internal model-based dynamic average consensus …

The paper presents a distributed Sensor Fault Diagnosis architecture for Industrial Wireless
Sensor Networks monitoring HVAC systems, by exploiting a recently proposed distributed …

The paper presents a novel distributed classifier of the convergence, which allows to detect
the convergence/the divergence of a distributed converging algorithm. Since this classifier is …

Given a network of agents, we study the problem of designing a distributed algorithm that
computes independent weighted means of the network's initial conditions (namely, the …

Buildings account for large part of global energy consumption. Besides energy consumed
due to normal operation, a large amount of energy can be wasted due to faults in buildings …