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2020 – today
- 2023
[j12]Loris Cannelli
, Mengjia Zhu, Francesco Farina, Alberto Bemporad, Dario Piga:
Multi-Agent Active Learning for Distributed Black-Box Optimization. IEEE Control. Syst. Lett. 7: 1488-1493 (2023)- [j11]Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano:
Distributed Personalized Gradient Tracking With Convex Parametric Models. IEEE Trans. Autom. Control. 68(1): 588-595 (2023) - [j10]Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano:
GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization. IEEE Trans. Control. Netw. Syst. 10(3): 1436-1448 (2023) - 2022
- [j9]Francesco Farina, Andrea Garulli, Antonio Giannitrapani:
An Interpolatory Algorithm for Distributed Set Membership Estimation in Asynchronous Networks. IEEE Trans. Autom. Control. 67(10): 5464-5470 (2022) - 2021
- [j8]Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs. Autom. 131: 109739 (2021) - [j7]Francesco Farina, Giuseppe Notarstefano:
Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization. IEEE Trans. Autom. Control. 66(9): 4000-4014 (2021) - [i12]Emma Slade, Francesco Farina:
Beyond permutation equivariance in graph networks. CoRR abs/2103.14066 (2021) - [i11]Francesco Farina, Emma Slade:
Symmetry-driven graph neural networks. CoRR abs/2105.14058 (2021) - [i10]Francesco Farina, Emma Slade:
Data efficiency in graph networks through equivariance. CoRR abs/2106.13786 (2021) - [i9]Francesco Farina, Lawrence Phillips, Nicola J. Richmond:
Intrinsic uncertainties and where to find them. CoRR abs/2107.02526 (2021) - 2020
- [j6]Francesco Farina, Giuseppe Notarstefano:
On the Linear Convergence Rate of the Distributed Block Proximal Method. IEEE Control. Syst. Lett. 4(3): 779-784 (2020) - [j5]Francesco Farina, Stefano Melacci, Andrea Garulli, Antonio Giannitrapani:
Asynchronous Distributed Learning From Constraints. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4367-4373 (2020) - [i8]Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano:
Distributed Personalized Gradient Tracking with Convex Parametric Models. CoRR abs/2008.04363 (2020) - [i7]Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Online Optimization via Gradient Tracking with Adaptive Momentum. CoRR abs/2009.01745 (2020) - [i6]Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Constraint-Coupled Optimization via Primal Decomposition over Random Time-Varying Graphs. CoRR abs/2010.14489 (2020)
2010 – 2019
- 2019
- [j4]Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Giuseppe Notarstefano:
A distributed asynchronous method of multipliers for constrained nonconvex optimization. Autom. 103: 243-253 (2019) - [j3]Francesco Farina, Stefania Ottone, Ferruccio Ponzano:
On the Collective Choice among Models of Social Protection: An Experimental Study. Games 10(4): 41 (2019) - [j2]Francesco Farina, Andrea Garulli, Antonio Giannitrapani:
Distributed Interpolatory Algorithms for Set Membership Estimation. IEEE Trans. Autom. Control. 64(9): 3817-3822 (2019) - [c6]Francesco Farina, Andrea Garulli, Antonio Giannitrapani:
Distributed set membership estimation with time-varying graph topology. CDC 2019: 4121-4126 - [c5]Francesco Farina, Giuseppe Notarstefano:
A Randomized Block Subgradient Approach to Distributed Big Data Optimization. CDC 2019: 6362-6367 - [c4]Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches. CDC 2019: 6374-6379 - [i5]Francesco Farina, Andrea Testa, Giuseppe Notarstefano:
Distributed Submodular Minimization via Block-Wise Updates and Communications. CoRR abs/1905.13682 (2019) - [i4]Tommaso Lisini Baldi, Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Domenico Prattichizzo:
Upper Body Pose Estimation Using Wearable Inertial Sensors and Multiplicative Kalman Filter. CoRR abs/1909.10376 (2019) - [i3]Francesco Farina, Andrea Camisa, Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano:
DISROPT: a Python Framework for Distributed Optimization. CoRR abs/1911.02410 (2019) - [i2]Francesco Farina, Stefano Melacci, Andrea Garulli, Antonio Giannitrapani:
Asynchronous Distributed Learning from Constraints. CoRR abs/1911.05473 (2019) - [i1]Francesco Farina:
Collective Learning. CoRR abs/1912.02580 (2019) - 2018
- [c3]Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Giuseppe Notarstefano:
Asynchronous Distributed Method of Multipliers for Constrained Nonconvex optimization. ECC 2018: 2535-2540 - 2017
- [j1]Mirko Leomanni, Andrea Garulli, Antonio Giannitrapani, Francesco Farina, Fabrizio Scortecci:
Minimum Switching Thruster Control for Spacecraft Precision Pointing. IEEE Trans. Aerosp. Electron. Syst. 53(2): 683-697 (2017) - 2016
- [c2]Francesco Farina, Daniele Fontanelli, Andrea Garulli, Antonio Giannitrapani, Domenico Prattichizzo:
When Helbing meets Laumond: The Headed Social Force Model. CDC 2016: 3548-3553 - 2015
- [c1]Andrea Giachetti, Francesco Farina, Francesco Fornasa, Atsushi Tatsuma, Chika Sanada, Masaki Aono, Silvia Biasotti, Andrea Cerri, Sungbin Choi:
Retrieval of Non-rigid (textured) Shapes Using Low Quality 3D Models. 3DOR@Eurographics 2015: 137-144
Coauthor Index
aka: Antonio Giannitrapani
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