Francesco Farina
Francesco Farina
AI Fellow, GSK
Verified email at gsk.com
Title
Cited by
Cited by
Year
Walking ahead: The headed social force model
F Farina, D Fontanelli, A Garulli, A Giannitrapani, D Prattichizzo
PloS one 12 (1), e0169734, 2017
502017
A distributed asynchronous method of multipliers for constrained nonconvex optimization
F Farina, A Garulli, A Giannitrapani, G Notarstefano
Automatica 103, 243-253, 2019
102019
When Helbing meets Laumond: the headed social force model
F Farina, D Fontanelli, A Garulli, A Giannitrapani, D Prattichizzo
2016 IEEE 55th Conference on Decision and Control (CDC), 3548-3553, 2016
92016
Upper body pose estimation using wearable inertial sensors and multiplicative kalman filter
TL Baldi, F Farina, A Garulli, A Giannitrapani, D Prattichizzo
IEEE Sensors Journal 20 (1), 492-500, 2019
72019
Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization
F Farina, G Notarstefano
arXiv preprint arXiv:1905.04214, 2019
52019
Disropt: a python framework for distributed optimization
F Farina, A Camisa, A Testa, I Notarnicola, G Notarstefano
arXiv preprint arXiv:1911.02410, 2019
42019
Distributed interpolatory algorithms for set membership estimation
F Farina, A Garulli, A Giannitrapani
IEEE Transactions on Automatic Control, 2018
32018
Asynchronous Distributed Method of Multipliers for Constrained Nonconvex optimization
F Farina, A Garulli, A Giannitrapani, G Notarstefano
European Control Conference (ECC), 2018 IEEE, 2018
32018
Minimum switching thruster control for spacecraft precision pointing
M Leomanni, A Garulli, A Giannitrapani, F Farina, F Scortecci
IEEE Transactions on Aerospace and Electronic Systems 53 (2), 683-697, 2017
22017
Distributed Personalized Gradient Tracking with Convex Parametric Models
I Notarnicola, A Simonetto, F Farina, G Notarstefano
arXiv preprint arXiv:2008.04363, 2020
12020
A randomized block subgradient approach to distributed big data optimization
F Farina, G Notarstefano
2019 IEEE 58th Conference on Decision and Control (CDC), 6362-6367, 2019
12019
Distributed Online Optimization via Gradient Tracking with Adaptive Momentum
G Carnevale, F Farina, I Notarnicola, G Notarstefano
arXiv preprint arXiv:2009.01745, 2020
2020
On the Linear Convergence Rate of the Distributed Block Proximal Method
F Farina, G Notarstefano
IEEE Control Systems Letters 4 (3), 779-784, 2020
2020
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
Distributed set membership estimation with time-varying graph topology
F Farina, A Garulli, A Giannitrapani
2019 IEEE 58th Conference on Decision and Control (CDC), 4121-4126, 2019
2019
Collective Learning
F Farina
arXiv preprint arXiv:1912.02580, 2019
2019
Asynchronous Distributed Learning from Constraints
F Farina, S Melacci, A Garulli, A Giannitrapani
IEEE Transactions on Neural Networks and Learning Systems, 2019
2019
Distributed Submodular Minimization via Block-Wise Updates and Communications
A Testa, F Farina, G Notarstefano
arXiv preprint arXiv:1905.13682, 2019
2019
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