BASTIANELLO, NICOLA
BASTIANELLO, NICOLA
Dipartimento di Ingegneria dell'Informazione - DEI
A novel bound on the convergence rate of ADMM for distributed optimization
2022 Bastianello, N.; Schenato, L.; Carli, R.
A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks
2018 Bastianello, N.; Carli, R.; Schenato, L.; Todescato, M.
Asynchronous Distributed Optimization over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence
2021 Bastianello, N.; Carli, R.; Schenato, L.; Todescato, M.
Asynchronous Distributed Optimization over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence
2021 Bastianello, N.; Carli, R.; Schenato, L.; Todescato, M.
Decentralized Intersection Control Using Bayesian Game Theory
2022 Bastianello, Nicola; Badia, Leonardo
Distributed and Inexact Proximal Gradient Method for Online Convex Optimization
2021 Bastianello, Nicola; Dall'Anese, Emiliano
Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: A Robust ADMM Approach
2018 Bastianello, Nicola; Todescato, M.; Carli, R.; Schenato, L.
Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization
2020 Bastianello, Nicola; Simonetto, Andrea; Carli, Ruggero
Feedback-Based Optimization with Sub-Weibull Gradient Errors and Intermittent Updates
2022 Ospina, A. M.; Bastianello, N.; Dallranese, E.
Internal Model-Based Online Optimization
2024 Bastianello, Nicola; Carli, Ruggero; Zampieri, Sandro
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression
2022 Bastianello, Nicola; Simonetto, Andrea; Dall'Anese, Emiliano
Prediction-correction for Nonsmooth Time-varying Optimization via Forward-backward Envelopes
2019 Bastianello, N.; Simonetto, A.; Carli, R.
Prediction-correction splittings for nonsmooth time-varying optimization
2019 Bastianello, N.; Simonetto, A.; Carli, R.
Prediction-correction splittings for time-varying optimization with intermittent observations
2020 Bastianello, Nicola; Simonetto, Andrea; Carli, Ruggero
Relaxed hybrid consensus ADMM for distributed convex optimisation with coupling constraints
2019 Olama, A.; Bastianello, N.; Mendes, P. R. C.; Camponogara, E.
Teoria degli operatori per ottimizzazione e learning
2022 Bastianello, Nicola
tvopt: A Python Framework for Time-Varying Optimization
2021 Bastianello, Nicola