Ivano Notarnicola
Ivano Notarnicola
Verified email at unibo.it
TitleCited byYear
Asynchronous distributed optimization via randomized dual proximal gradient
I Notarnicola, G Notarstefano
IEEE Transactions on Automatic Control 62 (5), 2095-2106, 2016
252016
Distributed big-data optimization via block-iterative convexification and averaging
I Notarnicola, Y Sun, G Scutari, G Notarstefano
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2281-2288, 2017
172017
Distributed partitioned big-data optimization via asynchronous dual decomposition
I Notarnicola, R Carli, G Notarstefano
IEEE Transactions on Control of Network Systems 5 (4), 1910-1919, 2017
102017
A randomized primal distributed algorithm for partitioned and big-data non-convex optimization
I Notarnicola, G Notarstefano
2016 IEEE 55th Conference on Decision and Control (CDC), 153-158, 2016
92016
Constraint-Coupled Distributed Optimization: a Relaxation and Duality Approach
I Notarnicola, G Notarstefano
IEEE Transactions on Control of Network Systems, 2019
82019
Distributed big-data optimization via block communications
I Notarnicola, Y Sun, G Scutari, G Notarstefano
2017 IEEE 7th International Workshop on Computational Advances in Multiá…, 2017
72017
A duality-based approach for distributed min-max optimization with application to demand side management
I Notarnicola, M Franceschelli, G Notarstefano
2016 IEEE 55th Conference on Decision and Control (CDC), 1877-1882, 2016
72016
A duality-based approach for distributed optimization with coupling constraints
I Notarnicola, G Notarstefano
IFAC-PapersOnLine 50 (1), 14326-14331, 2017
62017
A Duality-Based Approach for Distributed Min–Max Optimization
I Notarnicola, M Franceschelli, G Notarstefano
IEEE Transactions on Automatic Control 64 (6), 2559-2566, 2018
52018
Randomized dual proximal gradient for large-scale distributed optimization
I Notarnicola, G Notarstefano
2015 54th IEEE Conference on Decision and Control (CDC), 712-717, 2015
52015
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming
A Camisa, I Notarnicola, G Notarstefano
2018 IEEE Conference on Decision and Control (CDC), 3391-3396, 2018
42018
Distributed big-data optimization via block-iterative gradient tracking
I Notarnicola, Y Sun, G Scutari, G Notarstefano
arXiv preprint arXiv:1808.07252, 2018
42018
Distributed submodular minimization over networks: a greedy column generation approach
A Testa, I Notarnicola, G Notarstefano
2018 IEEE Conference on Decision and Control (CDC), 4945-4950, 2018
22018
Tracking-ADMM for Distributed Constraint-Coupled Optimization
A Falsone, I Notarnicola, G Notarstefano, M Prandini
arXiv preprint arXiv:1907.10860, 2019
12019
Distributed Optimization for Smart Cyber-Physical Networks
G Notarstefano, I Notarnicola, A Camisa
arXiv preprint arXiv:1906.10760, 2019
12019
Final-state constrained optimal control via a projection operator approach
I Notarnicola, FA Bayer, G Notarstefano, F Allgower
2016 European Control Conference (ECC), 148-153, 2016
12016
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization
M Bin, I Notarnicola, L Marconi, G Notarstefano
arXiv preprint arXiv:1911.06665, 2019
2019
DISROPT: a Python Framework for Distributed Optimization
F Farina, A Camisa, A Testa, I Notarnicola, G Notarstefano
arXiv preprint arXiv:1911.02410, 2019
2019
A Brief Tour of Logic and Optimization
J Hooker
arXiv preprint arXiv:1910.13975, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–19