activity
20122025
most citedDynamic Max-Consensus and Size Estimation of Anonymous Multi-Agent Networks

51 citations · 102 across the 15 of their papers we have counts for

collaborators

16 papers

eess.SY2025

Non-Euclidean Enriched Contraction Theory for Monotone Operators and Monotone Dynamical Systems

Diego Deplano, Sergio Grammatico, Mauro Franceschelli

We adopt an operator-theoretic perspective to analyze a class of nonlinear fixed-point iterations and discrete-time dynamical systems. Specifically, we study the Krasnoselskij iter…

math.OC2025★ 2 cited

Optimization and Learning in Open Multi-Agent Systems

Diego Deplano, Nicola Bastianello, Mauro Franceschelli +1

Modern artificial intelligence relies on networks of agents that collect data, process information, and exchange it with neighbors to collaboratively solve optimization and learnin…

eess.SY2024

Algebraic Connectivity Control and Maintenance in Multi-Agent Networks under Attack

Wenjie Zhao, Diego Deplano, Zhiwu Li +2

This paper studies the problem of increasing the connectivity of an ad-hoc peer-to-peer network subject to cyber-attacks targeting the agents in the network. The adopted strategy i…

math.OC2024

Accelerated Alternating Direction Method of Multipliers Gradient Tracking for Distributed Optimization

Eduardo Sebastián, Mauro Franceschelli, Andrea Gasparri +2

This paper presents a novel accelerated distributed algorithm for unconstrained consensus optimization over static undirected networks. The proposed algorithm combines the benefits…

math.OC2023★ 13 cited

Robust Online Learning over Networks

Nicola Bastianello, Diego Deplano, Mauro Franceschelli +1

The recent deployment of multi-agent networks has enabled the distributed solution of learning problems, where agents cooperate to train a global model without sharing their local,…

eess.SY2023★ 11 cited

Novel Stability Conditions for Nonlinear Monotone Systems and Consensus in Multi-Agent Networks

Diego Deplano, Mauro Franceschelli, Alessandro Giua

In this work, we characterize a class of nonlinear monotone dynamical systems that have a certain translation invariance property which goes by the name of plus-homogeneity; usuall…

math.OC2020★ 51 cited

Dynamic Max-Consensus and Size Estimation of Anonymous Multi-Agent Networks

Diego Deplano, Mauro Franceschelli, Alessandro Giua

In this paper we propose a novel consensus protocol for discrete-time multi-agent systems (MAS), which solves the dynamic consensus problem on the max value, i.e., the dynamic max-…

eess.SY2019

Multi-Agent Coordination of Thermostatically Controlled Loads by Smart Power Sockets for Electric Demand Side Management

Mauro Franceschelli, Alessandro Pilloni, Andrea Gasparri

This paper presents a multi-agent control architecture and an online optimization method based on dynamic average consensus to coordinate the power consumption of a large populatio…

eess.SY2019★ 14 cited

A Nonlinear Perron-Frobenius Approach for Stability and Consensus of Discrete-Time Multi-Agent Systems

Diego Deplano, Mauro Franceschelli, Alessandro Giua

In this paper we propose a novel method to establish stability and, in addition, convergence to a consensus state for a class of discrete-time Multi-Agent System (MAS) evolving acc…

eess.SY2019

Stability of Open Multi-Agent Systems and Applications to Dynamic Consensus

Mauro Franceschelli, Paolo Frasca

In this technical note we consider a class of multi-agent network systems that we refer to as Open Multi-Agent Systems (OMAS): in these multi-agent systems, an indefinite number of…

cs.DC2017

A duality-based approach for distributed min-max optimization with application to demand side management

Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano

In this paper we consider a distributed optimization scenario in which a set of processors aims at minimizing the maximum of a collection of "separable convex functions" subject to…

math.OC2016★ 1 cited

A duality-based approach for distributed min-max optimization

Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano

In this paper we consider a distributed optimization scenario in which a set of processors aims at cooperatively solving a class of min-max optimization problems. This set-up is mo…

math.OC2015★ 2 cited

Consensus on the average in arbitrary directed network topologies with time-delays

Mehran Zareh, Carla Seatzu, Mauro Franceschelli

In this preliminary paper we study the stability property of a consensus on the average algorithm in arbitrary directed graphs with respect to communication/sensing time-delays. Th…

eess.SY2014

Consensus in multi-agent systems with non-periodic sampled-data exchange and uncertain network topology

Mehran Zareh, Dimos V. Dimarogonas, Mauro Franceschelli +2

In this paper consensus in second-order multi-agent systems with a non-periodic sampled-data exchange among agents is investigated. The sampling is random with bounded inter-sampli…

eess.SY2014★ 6 cited

Consensus in multi-agent systems with second-order dynamics and non-periodic sampled-data exchange

Mehran Zareh, Dimos V. Dimarogonas, Mauro Franceschelli +2

In this paper consensus in second-order multi-agent systems with a non-periodic sampled-data exchange among agents is investigated. The sampling is random with bounded inter-sampli…

eess.SY2012★ 2 cited

Decentralized Estimation of Laplacian Eigenvalues in Multi-Agent Systems

Mauro Franceschelli, Andrea Gasparri, Alessandro Giua +1

In this paper we present a decentralized algorithm to estimate the eigenvalues of the Laplacian matrix that encodes the network topology of a multi-agent system. We consider networ…