51 citations · 91 across the 7 of their papers we have counts for
7 papers
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…
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…
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…
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,…
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…
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-…
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…