Distributed Online Optimization via Gradient Tracking with Adaptive Momentum. - Guido Carnevale; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano (CoRR, 2020)

Distributed Online Aggregative Optimization for Dynamic Multi-robot Coordination. - Guido Carnevale; Andrea Camisa; Giuseppe Notarstefano (CoRR, 2021)

A Learning-based Distributed Algorithm for Personalized Aggregative Optimization. - Guido Carnevale; Giuseppe Notarstefano (CDC, 2022)

Distributed Consensus Optimization via ADMM-Tracking Gradient. - Guido Carnevale; Nicola Bastianello; Ruggero Carli; Giuseppe Notarstefano (CDC, 2023)

On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares. - Lorenzo Sforni; Guido Carnevale; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2023)

A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization. - Alireza Olama; Guido Carnevale; Giuseppe Notarstefano; Eduardo Camponogara (CoDIT, 2023)

A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance. - Lorenzo Pichierri; Guido Carnevale; Lorenzo Sforni; Andrea Testa; Giuseppe Notarstefano (ICRA, 2023)

Triggered Gradient Tracking for asynchronous distributed optimization. - Guido Carnevale; Ivano Notarnicola; Lorenzo Marconi 001; Giuseppe Notarstefano (Autom., 2023)

Nonconvex Distributed Optimization via Lasalle and Singular Perturbations. - Guido Carnevale; Giuseppe Notarstefano (IEEE Control. Syst. Lett., 2023)

Distributed optimization and games over networks: a system theoretical perspective. - Guido Carnevale (2023)

Distributed Online Aggregative Optimization for Dynamic Multirobot Coordination. - Guido Carnevale; Andrea Camisa; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2023)

GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization. - Guido Carnevale; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano (IEEE Trans. Control. Netw. Syst., 2023)

A Distributed Algorithm for Coordination in Energy Communities. - Riccardo Brumali; Guido Carnevale; Ruggero Carli; Giuseppe Notarstefano (CASE, 2024)

Distributed ℓ0 Sparse Aggregative Optimization. - Alireza Olama; Guido Carnevale; Giuseppe Notarstefano; Eduardo Camponogara (CASE, 2024)

Distributed Feedback Optimization for Multi-Robot Target Encirclement and Patrolling. - Lorenzo Pichierri; Guido Carnevale; Giuseppe Notarstefano (CASE, 2024)

A System-theoretic Note on Model-Based Actor-Critic. - Simone Baroncini; Guido Carnevale; Bahman Gharesifard; Giuseppe Notarstefano (CDC, 2024)

Distributed equilibrium seeking in aggregative games: linear convergence under singular perturbations lens. - Guido Carnevale; Filippo Fabiani; Filiberto Fele; Kostas Margellos; Giuseppe Notarstefano (CDC, 2024)

Extremum-Seeking Policy Iteration for Data-Driven LQR. - Guido Carnevale; Nicola Mimmo; Giuseppe Notarstefano (CDC, 2024)

Nonconvex Big-Data Optimization via System Theory: a Block-wise Incremental Gradient Method. - Guido Carnevale; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2024)

A deep learning approach for distributed aggregative optimization with users' feedback. - Riccardo Brumali; Guido Carnevale; Giuseppe Notarstefano (L4DC, 2024)

Nonconvex distributed feedback optimization for aggregative cooperative robotics. - Guido Carnevale; Nicola Mimmo; Giuseppe Notarstefano (Autom., 2024)

Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient. - Lorenzo Sforni; Guido Carnevale; Ivano Notarnicola; Giuseppe Notarstefano (CoRR, 2024)

Multi-Robot Target Monitoring and Encirclement via Triggered Distributed Feedback Optimization. - Lorenzo Pichierri; Guido Carnevale; Lorenzo Sforni; Giuseppe Notarstefano (CoRR, 2024)

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration. - Guido Carnevale; Nicola Mimmo; Giuseppe Notarstefano (CoRR, 2024)

Timescale Separation for Discrete-Time Nonlinear Stochastic Systems. - Guido Carnevale; Giuseppe Notarstefano (IEEE Control. Syst. Lett., 2024)

Tracking-Based Distributed Equilibrium Seeking for Aggregative Games. - Guido Carnevale; Filippo Fabiani; Filiberto Fele; Kostas Margellos; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2024)

Modular Distributed Nonconvex Learning With Error Feedback. - Guido Carnevale; Nicola Bastianello (IEEE Control. Syst. Lett., 2025)

A Tutorial on Distributed Optimization for Cooperative Robotics: From Setups and Algorithms to Toolboxes and Research Directions. - Andrea Testa; Guido Carnevale; Giuseppe Notarstefano (Proc. IEEE, 2025)

On Sufficient Richness for Linear Time-Invariant Systems. - Marco Borghesi; Simone Baroncini; Guido Carnevale; Alessandro Bosso; Giuseppe Notarstefano (CoRR, 2025)

Distributed Constraint-Coupled Optimization: Harnessing ADMM-consensus for robustness. - Messilem A. Mohamed; Guido Carnevale; Ruggero Carli (CoRR, 2025)

Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning. - Riccardo Brumali; Guido Carnevale; Giuseppe Notarstefano (CoRR, 2025)

Extremum Seeking Tracking for Derivative-Free Distributed Optimization. - Nicola Mimmo; Guido Carnevale; Andrea Testa; Giuseppe Notarstefano (IEEE Trans. Control. Netw. Syst., 2025)

A Distributed Feedback-Based Framework for Nonlinear Aggregative Optimal Control. - Lorenzo Sforni; Guido Carnevale; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2025)

ADMM-Tracking Gradient for Distributed Optimization Over Asynchronous and Unreliable Networks. - Guido Carnevale; Nicola Bastianello; Giuseppe Notarstefano; Ruggero Carli (IEEE Trans. Autom. Control., 2025)