Ivano Notarnicola
Ivano Notarnicola
Verified email at unibo.it
Title
Cited by
Cited by
Year
Asynchronous distributed optimization via randomized dual proximal gradient
I Notarnicola, G Notarstefano
IEEE Transactions on Automatic Control 62 (5), 2095-2106, 2016
322016
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
Constraint-coupled distributed optimization: a relaxation and duality approach
I Notarnicola, G Notarstefano
IEEE Transactions on Control of Network Systems 7 (1), 483-492, 2019
162019
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
122017
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
102016
A duality-based approach for distributed optimization with coupling constraints
I Notarnicola, G Notarstefano
IFAC-PapersOnLine 50 (1), 14326-14331, 2017
82017
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 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
62018
Distributed big-data optimization via block-iterative gradient tracking
I Notarnicola, Y Sun, G Scutari, G Notarstefano
arXiv preprint arXiv:1808.07252, 2018
62018
Tracking-ADMM for distributed constraint-coupled optimization
A Falsone, I Notarnicola, G Notarstefano, M Prandini
Automatica 117, 108962, 2020
52020
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
Distributed optimization for smart cyber-physical networks
G Notarstefano, I Notarnicola, A Camisa
arXiv preprint arXiv:1906.10760, 2019
42019
Disropt: a python framework for distributed optimization
F Farina, A Camisa, A Testa, I Notarnicola, G Notarstefano
arXiv preprint arXiv:1911.02410, 2019
32019
Distributed big-data optimization via block-wise gradient tracking
I Notarnicola, Y Sun, G Scutari, G Notarstefano
IEEE Transactions on Automatic Control, 2020
22020
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
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
Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches
A Camisa, F Farina, I Notarnicola, G Notarstefano
2019 IEEE 58th Conference on Decision and Control (CDC), 6374-6379, 2019
2019
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization
M Bin, I Notarnicola, L Marconi, G Notarstefano
2019 IEEE 58th Conference on Decision and Control (CDC), 2994-2999, 2019
2019
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Articles 1–20