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Nicola Bastianello
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Asynchronous distributed optimization over lossy networks via relaxed ADMM: Stability and linear convergence
N Bastianello, R Carli, L Schenato, M Todescato
IEEE Transactions on Automatic Control 66 (6), 2620-2635, 2020
622020
Distributed and inexact proximal gradient method for online convex optimization
N Bastianello, E Dall’Anese
2021 European Control Conference (ECC), 2432-2437, 2021
302021
Distributed optimization over lossy networks via relaxed peaceman-rachford splitting: a robust admm approach
N Bastianello, M Todescato, R Carli, L Schenato
2018 European Control Conference (ECC), 477-482, 2018
212018
Primal and dual prediction-correction methods for time-varying convex optimization
N Bastianello, A Simonetto, R Carli
arXiv preprint arXiv:2004.11709, 2020
162020
Distributed prediction-correction admm for time-varying convex optimization
N Bastianello, A Simonetto, R Carli
2020 54th Asilomar Conference on Signals, Systems, and Computers, 47-52, 2020
112020
A partition-based implementation of the relaxed ADMM for distributed convex optimization over lossy networks
N Bastianello, R Carli, L Schenato, M Todescato
2018 IEEE Conference on Decision and Control (CDC), 3379-3384, 2018
112018
Relaxed hybrid consensus ADMM for distributed convex optimisation with coupling constraints
A Olama, N Bastianello, PRC Mendes, E Camponogara
IET Control Theory & Applications 13 (17), 2828-2837, 2019
92019
Prediction-correction splittings for nonsmooth time-varying optimization
N Bastianello, A Simonetto, R Carli
2019 18th European Control Conference (ECC), 1963-1968, 2019
82019
Feedback-based optimization with sub-weibull gradient errors and intermittent updates
AM Ospina, N Bastianello, E Dall’Anese
IEEE Control Systems Letters 6, 2521-2526, 2022
72022
tvopt: A Python Framework for Time-Varying Optimization
N Bastianello
2021 60th IEEE Conference on Decision and Control (CDC), 227-232, 2021
72021
A stochastic operator framework for inexact static and online optimization
N Bastianello, L Madden, R Carli, E Dall'Anese
arXiv e-prints, arXiv: 2105.09884, 2021
72021
A novel bound on the convergence rate of ADMM for distributed optimization
N Bastianello, L Schenato, R Carli
Automatica 142, 110403, 2022
42022
ADMM for Dynamic Average Consensus over Imperfect Networks
N Bastianello, R Carli
IFAC-PapersOnLine 55 (13), 228-233, 2022
42022
Extrapolation-Based Prediction-Correction Methods for Time-varying Convex Optimization
N Bastianello, R Carli, A Simonetto
Signal Processing 210, 109089, 2023
32023
Prediction-correction splittings for time-varying optimization with intermittent observations
N Bastianello, A Simonetto, R Carli
IEEE Control Systems Letters 4 (2), 373-378, 2019
32019
Distributed consensus optimization via admm-tracking gradient
G Carnevale, N Bastianello, R Carli, G Notarstefano
2023 62nd IEEE Conference on Decision and Control (CDC), 290-295, 2023
22023
Online distributed learning over random networks
N Bastianello, D Deplano, M Franceschelli, KH Johansson
arXiv preprint arXiv:2309.00520, 2023
22023
Opreg-boost: Learning to accelerate online algorithms with operator regression
N Bastianello, A Simonetto, E Dall’Anese
Learning for Dynamics and Control Conference, 138-152, 2022
22022
Data-based online optimization of networked systems with infrequent feedback
AM Ospina, N Bastianello, E Dall'Anese
arXiv preprint arXiv:2109.06343, 2021
22021
ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks
G Carnevale, N Bastianello, G Notarstefano, R Carli
arXiv preprint arXiv:2309.14142, 2023
12023
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