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Ivano Notarnicola
Ivano Notarnicola
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Titel
Zitiert von
Zitiert von
Jahr
Tracking-ADMM for distributed constraint-coupled optimization
A Falsone, I Notarnicola, G Notarstefano, M Prandini
Automatica 117, 108962, 2020
1162020
Distributed optimization for smart cyber-physical networks
G Notarstefano, I Notarnicola, A Camisa
Foundations and Trends® in Systems and Control 7 (3), 253-383, 2019
862019
Asynchronous distributed optimization via randomized dual proximal gradient
I Notarnicola, G Notarstefano
IEEE Transactions on Automatic Control 62 (5), 2095-2106, 2016
822016
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
802019
Disropt: a python framework for distributed optimization
F Farina, A Camisa, A Testa, I Notarnicola, G Notarstefano
IFAC-PapersOnLine 53 (2), 2666-2671, 2020
372020
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
332017
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
252018
GTAdam: Gradient tracking with adaptive momentum for distributed online optimization
G Carnevale, F Farina, I Notarnicola, G Notarstefano
IEEE Transactions on Control of Network Systems, 2022
182022
Distributed personalized gradient tracking with convex parametric models
I Notarnicola, A Simonetto, F Farina, G Notarstefano
IEEE Transactions on Automatic Control 68 (1), 588-595, 2022
182022
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
182017
Distributed primal decomposition for large-scale MILPs
A Camisa, I Notarnicola, G Notarstefano
IEEE Transactions on Automatic Control 67 (1), 413-420, 2021
172021
Distributed big-data optimization via blockwise gradient tracking
I Notarnicola, Y Sun, G Scutari, G Notarstefano
IEEE Transactions on Automatic Control 66 (5), 2045-2060, 2020
172020
Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs
A Camisa, F Farina, I Notarnicola, G Notarstefano
Automatica 131, 109739, 2021
162021
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
162019
Triggered gradient tracking for asynchronous distributed optimization
G Carnevale, I Notarnicola, L Marconi, G Notarstefano
Automatica 147, 110726, 2023
142023
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
142018
A duality-based approach for distributed optimization with coupling constraints
I Notarnicola, G Notarstefano
IFAC-PapersOnLine 50 (1), 14326-14331, 2017
132017
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
122016
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
112016
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
92019
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