Retrieval of Non-rigid (textured) Shapes Using Low Quality 3D Models. - Andrea Giachetti 001; Francesco Farina; Francesco Fornasa; Atsushi Tatsuma; Chika Sanada; Masaki Aono; Silvia Biasotti; Andrea Cerri; Sungbin Choi (3DOR@Eurographics, 2015)

When Helbing meets Laumond: The Headed Social Force Model. - Francesco Farina; Daniele Fontanelli; Andrea Garulli; Antonio Giannitrapani; Domenico Prattichizzo (CDC, 2016)

Minimum Switching Thruster Control for Spacecraft Precision Pointing. - Mirko Leomanni; Andrea Garulli; Antonio Giannitrapani; Francesco Farina; Fabrizio Scortecci (IEEE Trans. Aerosp. Electron. Syst., 2017)

Asynchronous Distributed Method of Multipliers for Constrained Nonconvex optimization. - Francesco Farina; Andrea Garulli; Antonio Giannitrapani; Giuseppe Notarstefano (ECC, 2018)

Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches. - Andrea Camisa; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2019)

Distributed set membership estimation with time-varying graph topology. - Francesco Farina; Andrea Garulli; Antonio Giannitrapani (CDC, 2019)

A Randomized Block Subgradient Approach to Distributed Big Data Optimization. - Francesco Farina; Giuseppe Notarstefano (CDC, 2019)

A distributed asynchronous method of multipliers for constrained nonconvex optimization. - Francesco Farina; Andrea Garulli; Antonio Giannitrapani; Giuseppe Notarstefano (Autom., 2019)

Distributed Submodular Minimization via Block-Wise Updates and Communications. - Francesco Farina; Andrea Testa; Giuseppe Notarstefano (CoRR, 2019)

Upper Body Pose Estimation Using Wearable Inertial Sensors and Multiplicative Kalman Filter. - Tommaso Lisini Baldi; Francesco Farina; Andrea Garulli; Antonio Giannitrapani; Domenico Prattichizzo (CoRR, 2019)

DISROPT: a Python Framework for Distributed Optimization. - Francesco Farina; Andrea Camisa; Andrea Testa; Ivano Notarnicola; Giuseppe Notarstefano (CoRR, 2019)

Collective Learning. - Francesco Farina (CoRR, 2019)

On the Collective Choice among Models of Social Protection: An Experimental Study. - Francesco Farina; Stefania Ottone; Ferruccio Ponzano (Games, 2019)

Distributed Interpolatory Algorithms for Set Membership Estimation. - Francesco Farina; Andrea Garulli; Antonio Giannitrapani (IEEE Trans. Autom. Control., 2019)

Distributed Online Optimization via Gradient Tracking with Adaptive Momentum. - Guido Carnevale; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano (CoRR, 2020)

On the Linear Convergence Rate of the Distributed Block Proximal Method. - Francesco Farina; Giuseppe Notarstefano (IEEE Control. Syst. Lett., 2020)

Asynchronous Distributed Learning From Constraints. - Francesco Farina; Stefano Melacci; Andrea Garulli; Antonio Giannitrapani (IEEE Trans. Neural Networks Learn. Syst., 2020)

Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs. - Andrea Camisa; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano (Autom., 2021)

Beyond permutation equivariance in graph networks. - Emma Slade; Francesco Farina (CoRR, 2021)

Symmetry-driven graph neural networks. - Francesco Farina; Emma Slade (CoRR, 2021)

Data efficiency in graph networks through equivariance. - Francesco Farina; Emma Slade (CoRR, 2021)

Intrinsic uncertainties and where to find them. - Francesco Farina; Lawrence Phillips; Nicola J. Richmond (CoRR, 2021)

Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization. - Francesco Farina; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2021)

An Interpolatory Algorithm for Distributed Set Membership Estimation in Asynchronous Networks. - Francesco Farina; Andrea Garulli; Antonio Giannitrapani (IEEE Trans. Autom. Control., 2022)

Multi-Agent Active Learning for Distributed Black-Box Optimization. - Loris Cannelli; Mengjia Zhu; Francesco Farina; Alberto Bemporad; Dario Piga (IEEE Control. Syst. Lett., 2023)

Distributed Personalized Gradient Tracking With Convex Parametric Models. - Ivano Notarnicola; Andrea Simonetto; Francesco Farina; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2023)

GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization. - Guido Carnevale; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano (IEEE Trans. Control. Netw. Syst., 2023)