Randomized dual proximal gradient for large-scale distributed optimization. - Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2015)

A duality-based approach for distributed min-max optimization with application to demand side management. - Ivano Notarnicola; Mauro Franceschelli; Giuseppe Notarstefano (CDC, 2016)

A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. - Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2016)

Final-state constrained optimal control via a projection operator approach. - Ivano Notarnicola; Florian A. Bayer; Giuseppe Notarstefano; Frank Allgöwer (ECC, 2016)

Distributed big-data optimization via block communications. - Ivano Notarnicola; Ying Sun 003; Gesualdo Scutari; Giuseppe Notarstefano (CAMSAP, 2017)

Distributed big-data optimization via block-iterative convexification and averaging. - Ivano Notarnicola; Ying Sun 003; Gesualdo Scutari; Giuseppe Notarstefano (CDC, 2017)

Asynchronous Distributed Optimization Via Randomized Dual Proximal Gradient. - Ivano Notarnicola; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2017)

A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. - Andrea Camisa; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2018)

Distributed Submodular Minimization Over Networks: A Greedy Column Generation Approach. - Andrea Testa; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2018)

A Duality-Based Approach for Distributed Optimization with Coupling Constraints. - Ivano Notarnicola; Giuseppe Notarstefano (CoRR, 2018)

Distributed Big-Data Optimization via Block-wise Gradient Tracking. - Ivano Notarnicola; Ying Sun 003; Gesualdo Scutari; Giuseppe Notarstefano (CoRR, 2018)

Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. - Ivano Notarnicola; Ruggero Carli; Giuseppe Notarstefano (IEEE Trans. Control. Netw. Syst., 2018)

A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. - Michelangelo Bin; Ivano Notarnicola; Lorenzo Marconi 001; Giuseppe Notarstefano (CDC, 2019)

Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches. - Andrea Camisa; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2019)

DISROPT: a Python Framework for Distributed Optimization. - Francesco Farina; Andrea Camisa; Andrea Testa; Ivano Notarnicola; Giuseppe Notarstefano (CoRR, 2019)

Distributed Optimization for Smart Cyber-Physical Networks. - Giuseppe Notarstefano; Ivano Notarnicola; Andrea Camisa (Found. Trends Syst. Control., 2019)

A Duality-Based Approach for Distributed Min-Max Optimization. - Ivano Notarnicola; Mauro Franceschelli; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2019)

Tracking-ADMM for distributed constraint-coupled optimization. - Alessandro Falsone; Ivano Notarnicola; Giuseppe Notarstefano; Maria Prandini (Autom., 2020)

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

Constraint-Coupled Distributed Optimization: A Relaxation and Duality Approach. - Ivano Notarnicola; Giuseppe Notarstefano (IEEE Trans. Control. Netw. Syst., 2020)

Learning-driven Nonlinear Optimal Control via Gaussian Process Regression. - Lorenzo Sforni; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2021)

Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs. - Andrea Camisa; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano (Autom., 2021)

GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control. - Lorenzo Sforni; Sara Spedicato; Ivano Notarnicola; Giuseppe Notarstefano (CoRR, 2021)

Distributed Big-Data Optimization via Blockwise Gradient Tracking. - Ivano Notarnicola; Ying Sun 003; Gesualdo Scutari; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2021)

Achievement and Fragility of Long-term Equitability. - Andrea Simonetto; Ivano Notarnicola (AIES, 2022)

Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization. - Michelangelo Bin; Ivano Notarnicola; Thomas Parisini (CDC, 2022)

Passivity-based Analysis of the ADMM Algorithm for Constraint-Coupled Optimization. - Ivano Notarnicola; Alessandro Falsone (Autom., 2022)

Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization. - Andrea Camisa; Ivano Notarnicola; Giuseppe Notarstefano (IEEE Control. Syst. Lett., 2022)

Distributed Primal Decomposition for Large-Scale MILPs. - Andrea Camisa; Ivano Notarnicola; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2022)

Discrete-Time Distributed Optimization for Linear Uncertain Multi-Agent Systems. - Tong Liu; Michelangelo Bin; Ivano Notarnicola; Thomas Parisini; Zhong-Ping Jiang (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)

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

Distributed Personalized Gradient Tracking With Convex Parametric Models. - Ivano Notarnicola; Andrea Simonetto; Francesco Farina; 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)

The Gradient Tracking Is a Distributed Integral Action. - Ivano Notarnicola; Michelangelo Bin; Lorenzo Marconi 001; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2023)

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

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

Semiglobal exponential stability of the discrete-time Arrow-Hurwicz-Uzawa primal-dual algorithm for constrained optimization. - Michelangelo Bin; Ivano Notarnicola; Thomas Parisini (Math. Program., 2024)