Mauro Franceschelli

Associate Professor

University of Cagliari

Italy

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Dr. Mauro Franceschelli is an Associate Professor at the University of Cagliari, Italy. His research focuses on robust online learning over networks, multi-agent systems, and privacy-preserving optimization methods. Recent publications highlight his work on ensemble learning models, consensus in multi-agent networks, and enhanced stability conditions for nonlinear systems.

Articles (18)

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2025

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2024

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2021

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2021

Collaborators (9)

Elio USAI

Professor, Automatic Control

University of Cagliari

ITALY

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Alessandro Giua

University of Cagliari

ITALY

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Carlos Sagüés

Universidad de Zaragoza

SPAIN

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Gabriele oliva

Assistant Professor

Università Campus Bio-Medico di Roma

ITALY

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Andrea Gasparri

Roma Tre University

ITALY

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Karl H. Johansson

KTH Royal Institute of Technology

SWEDEN

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Diego Deplano

Assistant Professor (RTD-A)

University of Cagliari

ITALY

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Nicola Bastianello

KTH Royal Institute of Technology

SWEDEN

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Carla Seatzu

University of Cagliari

ITALY

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Mauro Franceschelli

Research Interests

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About

Articles (18)

Gossip-Based Estimation of Centroid and Common Reference Frame in Open Multi-Agent Systems

On Ensemble Learning Models for Autoencoder-Based Identification of Nonlinear Dynamical Systems

A Privacy-Preserving Distributed Greedy Framework to Desynchronize Power Consumption in a Network of Thermostatically Controlled Loads

Robust Online Learning over Networks

Stability of Nonexpansive Monotone Systems and Application to Recurrent Neural Networks

A Sum-of-States Preservation Framework for Open Multiagent Systems With Nonlinear Heterogeneous Coupling

Accelerated Alternating Direction Method of Multipliers Gradient Tracking for Distributed Optimization

Selective Trimmed Average: A Resilient Federated Learning Algorithm With Deterministic Guarantees on the Optimality Approximation

Distributed Asynchronous Greedy Control of Large Networks of Thermostatically Controlled Loads for Electric Demand Response

Resilient and Privacy-Preserving Multi-Agent Optimization and Control of a Network of Battery Energy Storage Systems Under Attack

Dynamic Min and Max Consensus and Size Estimation of Anonymous Multiagent Networks

Accelerated Multi-Stage Discrete Time Dynamic Average Consensus

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

Resilient Constrained Optimization in Multi-Agent Systems With Improved Guarantee on Approximation Bounds

Dynamic Resilient Containment Control in Multirobot Systems

Distributed Mode Computation in Open Multi-Agent Systems

Stability of Open Multiagent Systems and Applications to Dynamic Consensus

Distributed Fiedler Vector Estimation With Application to Desynchronization of Harmonic Oscillator Networks

Collaborators (9)

Elio USAI

Alessandro Giua

Carlos Sagüés

Gabriele oliva

Andrea Gasparri

Karl H. Johansson

Diego Deplano

Nicola Bastianello

Carla Seatzu

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