Giuseppe Notarstefano

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 113

Top Venues

CoRR

CDC

IEEE Trans. Autom. Control.

ECC

Publications

Rodrigo Aldana-López, Alessandro Macchelli, Giuseppe Notarstefano, Rosario Aragüés, Carlos Sagüés
Towards Parameter-free Distributed Optimization: a Port-Hamiltonian Approach. CoRR (2024)
Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano
Nonconvex distributed feedback optimization for aggregative cooperative robotics. Autom. 167 (2024)
Riccardo Brumali, Guido Carnevale, Giuseppe Notarstefano
A deep learning approach for distributed aggregative optimization with users' feedback. L4DC (2024)
Andrea Camisa, Giovanni Montanari, Andrea Testa, Luigi Falzetti, Sofia Avnet, Nicola Baldini, Giuseppe Notarstefano
Automated Detection of Spinal Lesions From CT Scans via Deep Transfer Learning. IEEE Access 12 (2024)
Marco Borghesi, Alessandro Bosso, Giuseppe Notarstefano
MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR. CoRR (2024)
Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano
Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient. CoRR (2024)
Andrea Camisa, Andrea Testa, Giuseppe Notarstefano
Multi-Robot Pickup and Delivery via Distributed Resource Allocation. IEEE Trans. Robotics 39 (2) (2023)
Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni, Andrea Testa, Giuseppe Notarstefano
A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance. CoRR (2023)
Lorenzo Pichierri, Andrea Testa, Giuseppe Notarstefano
CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2. IEEE Robotics Autom. Lett. 8 (8) (2023)
Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization. IEEE Trans. Control. Netw. Syst. 10 (3) (2023)
Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
Triggered Gradient Tracking for asynchronous distributed optimization. Autom. 147 (2023)
Lorenzo Pichierri, Andrea Testa, Giuseppe Notarstefano
CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2. CoRR (2023)
Guido Carnevale, Giuseppe Notarstefano
Nonconvex Distributed Optimization via Lasalle and Singular Perturbations. IEEE Control. Syst. Lett. 7 (2023)
Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni, Andrea Testa, Giuseppe Notarstefano
A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance. ICRA (2023)
Andrea Camisa, Giuseppe Notarstefano
A Distributed Mixed-Integer Framework to Stochastic Optimal Microgrid Control. IEEE Trans. Control. Syst. Technol. 31 (1) (2023)
Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano
Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics. CoRR (2023)
Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano
Distributed Personalized Gradient Tracking With Convex Parametric Models. IEEE Trans. Autom. Control. 68 (1) (2023)
Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano
On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares. CDC (2023)
Andrea Testa, Guido Carnevale, Giuseppe Notarstefano
A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions. CoRR (2023)
Ivano Notarnicola, Michelangelo Bin, Lorenzo Marconi, Giuseppe Notarstefano
The Gradient Tracking Is a Distributed Integral Action. IEEE Trans. Autom. Control. 68 (12) (2023)
Alireza Olama, Guido Carnevale, Giuseppe Notarstefano, Eduardo Camponogara
A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization. CoDIT (2023)
Guido Carnevale, Nicola Bastianello, Ruggero Carli, Giuseppe Notarstefano
Distributed Consensus Optimization via ADMM-Tracking Gradient. CDC (2023)
Marco Borghesi, Alessandro Bosso, Giuseppe Notarstefano
On-Policy Data-Driven Linear Quadratic Regulator via Model Reference Adaptive Reinforcement Learning. CDC (2023)
Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano
Distributed Online Aggregative Optimization for Dynamic Multirobot Coordination. IEEE Trans. Autom. Control. 68 (6) (2023)
Andrea Testa, Giuseppe Notarstefano
Generalized Assignment for Multi-Robot Systems via Distributed Branch-And-Price. IEEE Trans. Robotics 38 (3) (2022)
Lorenzo Sforni, Andrea Camisa, Giuseppe Notarstefano
Structured-policy Q-learning: an LMI-based Design Strategy for Distributed Reinforcement Learning. CDC (2022)
Nicola Mimmo, Lorenzo Marconi, Giuseppe Notarstefano
Uniform quasi-convex optimisation via Extremum Seeking. CDC (2022)
Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano
Tracking-based distributed equilibrium seeking for aggregative games. CoRR (2022)
Nicola Mimmo, Lorenzo Marconi, Giuseppe Notarstefano
Uniform quasi-convex optimisation via Extremum Seeking. CoRR (2022)
Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Primal Decomposition for Large-Scale MILPs. IEEE Trans. Autom. Control. 67 (1) (2022)
Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
Triggered Gradient Tracking for Asynchronous Distributed Optimization. CoRR (2022)
Guido Carnevale, Giuseppe Notarstefano
A Learning-based Distributed Algorithm for Personalized Aggregative Optimization. CDC (2022)
Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization. IEEE Control. Syst. Lett. 6 (2022)
Andrea Testa, Andrea Camisa, Giuseppe Notarstefano
ChoiRbot: A ROS 2 Toolbox for Cooperative Robotics. IEEE Robotics Autom. Lett. 6 (2) (2021)
Lorenzo Sforni, Sara Spedicato, Ivano Notarnicola, Giuseppe Notarstefano
GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control. CoRR (2021)
Nicola Mimmo, Guido Carnevale, Andrea Testa, Giuseppe Notarstefano
Extremum Seeking Tracking for Derivative-free Distributed Optimization. CoRR (2021)
Andrea Camisa, Giuseppe Notarstefano
A Distributed Mixed-Integer Framework to Stochastic Optimal Microgrid Control. CoRR (2021)
Lorenzo Sforni, Ivano Notarnicola, Giuseppe Notarstefano
Learning-driven Nonlinear Optimal Control via Gaussian Process Regression. CDC (2021)
Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs. Autom. 131 (2021)
Licio Romao, Kostas Margellos, Giuseppe Notarstefano, Antonis Papachristodoulou
Subgradient averaging for multi-agent optimisation with different constraint sets. Autom. 131 (2021)
Andrea Camisa, Alessia Benevento, Giuseppe Notarstefano
Constraint-coupled Optimization with Unknown Costs: A Distributed Primal Decomposition Approach. CoRR (2021)
Francesco Farina, Giuseppe Notarstefano
Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization. IEEE Trans. Autom. Control. 66 (9) (2021)
Andrea Camisa, Andrea Testa, Giuseppe Notarstefano
Multi-Robot Pickup and Delivery via Distributed Resource Allocation. CoRR (2021)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Blockwise Gradient Tracking. IEEE Trans. Autom. Control. 66 (5) (2021)
Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano
Distributed Online Aggregative Optimization for Dynamic Multi-robot Coordination. CoRR (2021)
Mohammadreza Chamanbaz, Giuseppe Notarstefano, Francesco Sasso, Roland Bouffanais
Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming. IEEE Trans. Control. Netw. Syst. 8 (1) (2021)
Andrea Testa, Alessandro Rucco, Giuseppe Notarstefano
Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange. IEEE Trans. Autom. Control. 65 (4) (2020)
Francesco Farina, Giuseppe Notarstefano
On the Linear Convergence Rate of the Distributed Block Proximal Method. IEEE Control. Syst. Lett. 4 (3) (2020)
Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Primal Decomposition for Large-Scale MILPs. CoRR (2020)
Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano
Interaction-Based Distributed Learning in Cyber-Physical and Social Networks. IEEE Trans. Autom. Control. 65 (1) (2020)
Andrea Testa, Andrea Camisa, Giuseppe Notarstefano
ChoiRbot: A ROS 2 Toolbox for Cooperative Robotics. CoRR (2020)
Ivano Notarnicola, Giuseppe Notarstefano
Constraint-Coupled Distributed Optimization: A Relaxation and Duality Approach. IEEE Trans. Control. Netw. Syst. 7 (1) (2020)
Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano, Maria Prandini
Tracking-ADMM for distributed constraint-coupled optimization. Autom. 117 (2020)
Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Online Optimization via Gradient Tracking with Adaptive Momentum. CoRR (2020)
Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano
Distributed Personalized Gradient Tracking with Convex Parametric Models. CoRR (2020)
Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Constraint-Coupled Optimization via Primal Decomposition over Random Time-Varying Graphs. CoRR (2020)
Alessia Benevento, María Santos, Giuseppe Notarstefano, Kamran Paynabar, Matthieu R. Bloch, Magnus Egerstedt
Multi-Robot Coordination for Estimation and Coverage of Unknown Spatial Fields. ICRA (2020)
Giovanni Cherubini, Martin Guay, Sophie Tarbouriech, Kartik B. Ariyur, Mireille E. Broucke, Subhrakanti Dey, Christian Ebenbauer, Paolo Frasca, Bahman Gharesifard, Antoine Girard, João Manoel Gomes da Silva, Lars Grüne, Christopher M. Kellett, Usman Khan, Giuseppe Notarstefano, Luca Scardovi, Kyriakos G. Vamvoudakis
Guest Editorial Introduction to the Special Issue of the IEEE L-CSS on Learning and Control. IEEE Control. Syst. Lett. 4 (3) (2020)
Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa
Distributed Optimization for Smart Cyber-Physical Networks. CoRR (2019)
Francesco Farina, Giuseppe Notarstefano
A Randomized Block Subgradient Approach to Distributed Big Data Optimization. CDC (2019)
Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches. CDC (2019)
Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano
A Duality-Based Approach for Distributed Min-Max Optimization. IEEE Trans. Autom. Control. 64 (6) (2019)
Sarnavi Mahesh, Sara Spedicato, Giuseppe Notarstefano
A Sparse Polytopic LPV Controller for Fully-Distributed Nonlinear Optimal Control. ECC (2019)
Francesco Farina, Andrea Testa, Giuseppe Notarstefano
Distributed Submodular Minimization via Block-Wise Updates and Communications. CoRR (2019)
Francesco Farina, Andrea Camisa, Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano
DISROPT: a Python Framework for Distributed Optimization. CoRR (2019)
Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa
Distributed Optimization for Smart Cyber-Physical Networks. Found. Trends Syst. Control. 7 (3) (2019)
Andrea Camisa, Giuseppe Notarstefano
Primal Decomposition and Constraint Generation for Asynchronous Distributed Mixed-Integer Linear Programming. ECC (2019)
Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. CoRR (2019)
Nicoletta Bof, Ruggero Carli, Giuseppe Notarstefano, Luca Schenato, Damiano Varagnolo
Multiagent Newton-Raphson Optimization Over Lossy Networks. IEEE Trans. Autom. Control. 64 (7) (2019)
Mohammadreza Chamanbaz, Giuseppe Notarstefano, Francesco Sasso, Roland Bouffanais
Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming. CoRR (2019)
Licio Romao, Kostas Margellos, Giuseppe Notarstefano, Antonis Papachristodoulou
Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets. CDC (2019)
Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Giuseppe Notarstefano
A distributed asynchronous method of multipliers for constrained nonconvex optimization. Autom. 103 (2019)
Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano, Maria Prandini
Tracking-ADMM for Distributed Constraint-Coupled Optimization. CoRR (2019)
Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. CDC (2019)
Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. CoRR (2018)
Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano
Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. IEEE Trans. Control. Netw. Syst. 5 (4) (2018)
Ivano Notarnicola, Giuseppe Notarstefano
A Duality-Based Approach for Distributed Optimization with Coupling Constraints. CoRR (2018)
Smriti Chopra, Giuseppe Notarstefano, Matthew Rice, Magnus Egerstedt
A Distributed Version of the Hungarian Method for Multi-Robot Assignment. CoRR (2018)
Sara Spedicato, Giuseppe Notarstefano
Minimum-Time Trajectory Generation for Quadrotors in Constrained Environments. IEEE Trans. Control. Syst. Technol. 26 (4) (2018)
Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Submodular Minimization Over Networks: A Greedy Column Generation Approach. CDC (2018)
Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano
An Empirical Bayes Approach for Distributed Estimation of Spatial Fields. CoRR (2018)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging. CoRR (2018)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Block Communications. CoRR (2018)
Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano
Distributed Learning from Interactions in Social Networks. CoRR (2018)
Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach. CoRR (2018)
Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano
Distributed Learning from Interactions in Social Networks. ECC (2018)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Block-wise Gradient Tracking. CoRR (2018)
Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. CDC (2018)
Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano
An Empirical Bayes Approach for Distributed Estimation of Spatial Fields. ECC (2018)
Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano
Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. CoRR (2018)
Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Giuseppe Notarstefano
Asynchronous Distributed Method of Multipliers for Constrained Nonconvex optimization. ECC (2018)
Ivano Notarnicola, Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer
Final-State Constrained Optimal Control via a Projection Operator Approach. CoRR (2017)
Andrea Testa, Alessandro Rucco, Giuseppe Notarstefano
A finite-time cutting plane algorithm for distributed mixed integer linear programming. CDC (2017)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed big-data optimization via block-iterative convexification and averaging. CDC (2017)
Giuseppe Notarstefano
A core-set approach for distributed quadratic programming in big-data classification. CoRR (2017)
Smriti Chopra, Giuseppe Notarstefano, Matthew Rice, Magnus Egerstedt
A Distributed Version of the Hungarian Method for Multirobot Assignment. IEEE Trans. Robotics 33 (4) (2017)
Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano
Interaction-Based Distributed Learning in Cyber-Physical and Social Networks. CoRR (2017)
Mohammadreza Chamanbaz, Giuseppe Notarstefano, Roland Bouffanais
A randomized distributed ellipsoid algorithm for uncertain feasibility problems. CDC (2017)
Ivano Notarnicola, Giuseppe Notarstefano
A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. CoRR (2017)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed big-data optimization via block communications. CAMSAP (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Giuseppe Notarstefano