An asymptotic preserving scheme for the streamer simulation. - Andrea Villa; Luca Barbieri; Marco Gondola; Roberto Malgesini (J. Comput. Phys., 2013)

Stability of the discretization of the electron avalanche phenomenon. - Andrea Villa; Luca Barbieri; Marco Gondola; Andres R. Leon-Garzon; Roberto Malgesini (J. Comput. Phys., 2015)

An implicit three-dimensional fractional step method for the simulation of the corona phenomenon. - Andrea Villa; Luca Barbieri; Marco Gondola; Andres R. Leon-Garzon; Roberto Malgesini (Appl. Math. Comput., 2017)

An efficient algorithm for corona simulation with complex chemical models. - Andrea Villa; Luca Barbieri; Marco Gondola; Andres R. Leon-Garzon; Roberto Malgesini (J. Comput. Phys., 2017)

A PDE-based partial discharge simulator. - Andrea Villa; Luca Barbieri; Marco Gondola; Andres R. Leon-Garzon; Roberto Malgesini (J. Comput. Phys., 2017)

Overcoming Frequency Response Measurements of Voltage Transformers: An Approach Based on Quasi-Sinusoidal Volterra Models. - Marco Faifer; Christian Laurano; Roberto Ottoboni; Sergio Toscani; Michele Zanoni; Gabriella Crotti; Domenico Giordano; Luca Barbieri; Marco Gondola; Paolo Mazza (IEEE Trans. Instrum. Meas., 2019)

Measurement of Dynamic Voltage Variation Effect on Instrument Transformers for Power Grid Applications. - Gabriella Crotti; Domenico Giordano; Giovanni D'Avanzo; Antonio Delle Femine; Daniele Gallo; Carmine Landi; Mario Luiso; Palma Sara Letizia; Luca Barbieri; Paolo Mazza; Daniele Palladini (I2MTC, 2020)

UWB Real-Time Location Systems for Smart Factory: Augmentation Methods and Experiments. - Luca Barbieri; Mattia Brambilla; Razvan Pitic; Andrea Trabattoni; Stefano Mervic; Monica Nicoli (PIMRC, 2020)

Three dimensional simulation of the dynamics of electro active polymers using shell elements. - Andrea Villa; Luca Barbieri; Roberto Malgesini (Appl. Math. Comput., 2020)

Decentralized Federated Learning for Road User Classification in Enhanced V2X Networks. - Luca Barbieri; Stefano Savazzi; Monica Nicoli (ICC Workshops, 2021)

Discretization of Poisson's equation in two domains with non algebraic interface conditions for plasma simulations. - Andrea Villa; Luca Barbieri; Roberto Malgesini; Giacomo Buccella (Appl. Math. Comput., 2021)

Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems. - Stefano Savazzi; Monica Nicoli; Mehdi Bennis; Sanaz Kianoush; Luca Barbieri (IEEE Commun. Mag., 2021)

An uncoupled implementation of the local mean energy plasma model. - Andrea Villa; Roger Schurch; Luca Barbieri; Roberto Malgesini; Giacomo Buccella (J. Comput. Phys., 2021)

UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment. - Luca Barbieri; Mattia Brambilla; Andrea Trabattoni; Stefano Mervic; Monica Nicoli (IEEE Trans. Instrum. Meas., 2021)

Erratum to "UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment". - Luca Barbieri; Mattia Brambilla; Andrea Trabattoni; Stefano Mervic; Monica Nicoli (IEEE Trans. Instrum. Meas., 2021)

Addressing data association by message passing over graph neural networks. - Bernardo Camajori Tedeschini; Mattia Brambilla; Luca Barbieri; Monica Nicoli (FUSION, 2022)

Communication-efficient Distributed Learning in V2X Networks: Parameter Selection and Quantization. - Luca Barbieri; Stefano Savazzi; Monica Nicoli (GLOBECOM, 2022)

A Calibration Method for Antenna Delay Estimation and Anchor Self-Localization in UWB Systems. - Marco Piavanini; Luca Barbieri; Mattia Brambilla; Mattia Cerutti; Simone Ercoli; Andrea Agili; Monica Nicoli (MetroInd4.0& IoT, 2022)

Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation. - Bernardo Camajori Tedeschini; Stefano Savazzi; Roman Stoklasa; Luca Barbieri; Ioannis Stathopoulos; Monica Nicoli; Luigi Serio (IEEE Access, 2022)

Simulation of surface-plasma interaction with high surface conductivity. - Andrea Villa; Roger Schurch; Giacomo Buccella; Luca Barbieri; Christian Laurano; Roberto Malgesini; Daniele Palladini (J. Comput. Phys., 2022)

A Self-Calibrating Localization Solution for Sport Applications with UWB Technology. - Marco Piavanini; Luca Barbieri; Mattia Brambilla; Mattia Cerutti; Simone Ercoli; Andrea Agili; Monica Nicoli (Sensors, 2022)

Decentralized federated learning for extended sensing in 6G connected vehicles. - Luca Barbieri; Stefano Savazzi; Mattia Brambilla; Monica Nicoli (Veh. Commun., 2022)

A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification. - Luca Barbieri; Stefano Savazzi; Sanaz Kianoush; Monica Nicoli; Luigi Serio (CAMAD, 2023)

Channel-Driven Decentralized Bayesian Federated Learning for Trustworthy Decision Making in D2D Networks. - Luca Barbieri; Osvaldo Simeone; Monica Nicoli (ICASSP, 2023)

Implicit Vehicle Positioning with Cooperative Lidar Sensing. - Luca Barbieri; Bernardo Camajori Tedeschini; Mattia Brambilla; Monica Nicoli (ICASSP, 2023)

Deep Neural Networks for Cooperative Lidar Localization in Vehicular Networks. - Luca Barbieri; Mattia Brambilla; Monica Nicoli (ICC, 2023)

Annealed Stein Particle Filter for Mobile Positioning in Indoor Environments. - Marco Piavanini; Luca Barbieri; Mattia Brambilla; Monica Nicoli (ICC, 2023)

A Layer Selection Optimizer for Communication-Efficient Decentralized Federated Deep Learning. - Luca Barbieri; Stefano Savazzi; Monica Nicoli (IEEE Access, 2023)

Cooperative Lidar Sensing for Pedestrian Detection: Data Association Based on Message Passing Neural Networks. - Bernardo Camajori Tedeschini; Mattia Brambilla; Luca Barbieri; Gabriele Balducci; Monica Nicoli (IEEE Trans. Signal Process., 2023)

Cooperative Processing and Learning Methods for High-Resolution Environmental Perception - Luca Barbieri (2023)

A multi-resolution method for internal partial discharge simulation. - Andrea Villa; Giacomo Buccella; Luca Barbieri; Daniele Palladini; Giovanni D'Avanzo (J. Comput. Phys., 2023)

LiDAR-Aided Cooperative Localization and Environmental Perception for CAVs. - Akif Adas; Luca Barbieri; Satyesh Awasthi; Pietro Morri; Simone Mentasti; Stefano Arrigoni; Edoardo Sabbioni; Monica Nicoli (FUSION, 2024)

A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers. - Diogo Reis Santos; Albert Sund Aillet; Antonio Boiano; Usevalad Milasheuski; Lorenzo Giusti; Marco Di Gennaro; Sanaz Kianoush; Luca Barbieri; Monica Nicoli; Michele Carminati; Alessandro E. C. Redondi; Stefano Savazzi; et al. (HealthCom, 2024)

A Compressed Decentralized Federated Learning Frame Work for Enhanced Environmental Awareness in V2V Networks. - Luca Barbieri; Mattia Brambilla; Monica Nicoli (ICASSP Workshops, 2024)

Deep Unfolded Annealed Stein Particle Filter for Vehicle Tracking. - Marco Piavanini; Luca Barbieri; Mattia Brambilla; Monica Nicoli (ICASSP, 2024)

Autonomous Vehicle Positioning with LiDAR-Only Sensing: An Application on the RACECAR Dataset. - Francesco Pigato; Luca Barbieri; Mattia Brambilla; Monica Nicoli (SiPS, 2024)

A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications. - Antonio Boiano; Marco Di Gennaro; Luca Barbieri; Michele Carminati; Monica Nicoli; Alessandro Redondi; Usevalad Milasheuski; Sanaz Kianoush; Stefano Savazzi; Albert Sund Aillet; Diogo Reis Santos; Luigi Serio (WiMob, 2024)

A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications. - Antonio Boiano; Marco Di Gennaro; Luca Barbieri; Michele Carminati; Monica Nicoli; Alessandro Redondi; Stefano Savazzi; Albert Sund Aillet; Diogo Reis Santos; Luigi Serio (CoRR, 2024)

On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks. - Usevalad Milasheuski; Luca Barbieri; Bernardo Camajori Tedeschini; Monica Nicoli; Stefano Savazzi (CoRR, 2024)

Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT. - Luca Barbieri; Stefano Savazzi; Monica Nicoli (CoRR, 2024)

Deep Learning-Based Cooperative LiDAR Sensing for Improved Vehicle Positioning. - Luca Barbieri; Bernardo Camajori Tedeschini; Mattia Brambilla; Monica Nicoli (IEEE Trans. Signal Process., 2024)

Diagnostics of Internal Defects in Composite Overhead Insulators Using an Optic E-Field Sensor. - Damiano Fasani; Luca Barbieri; Andrea Villa; Daniele Palladini; Roberto Malgesini; Giovanni D'Avanzo; Giacomo Buccella; Paolo Gadia (Sensors, 2024)

The Security of Quantum Computing in 6G: from Technical Perspectives to Ethical Implications. - Luca Barbieri; Abdelkrim Menina; Riccardo Bassoli; Frank H. P. Fitzek (ITASEC/SERICS, 2025)

Bayesian Federated Learning for Continual Training. - Usevalad Milasheuski; Luca Barbieri; Sanaz Kianoush; Monica Nicoli; Stefano Savazzi (SSP, 2025)

On the Impact of Model Compression for Bayesian Federated Learning: An Analysis on Healthcare Data. - Luca Barbieri; Stefano Savazzi; Monica Nicoli (IEEE Signal Process. Lett., 2025)

An Experimental Analysis on the Readiness of Currently Deployed 5G Networks for Positioning. - Luca Barbieri; Mattia Brambilla; Alessandro Goia; Monica Nicoli; Antonio Capone (IEEE Trans. Instrum. Meas., 2025)

Accurate Visualization and Interaction of 3D Models Belonging to Museums' Collection: From the Acquisition to the Digital Kiosk. - Fabrizio Ivan Apollonio; Michele Zannoni; Filippo Fantini; Simone Garagnani; Luca Barbieri (ACM Journal on Computing and Cultural Heritage, 2025)

A Close Look at the Communication Efficiency and the Energy Footprints of Robust Federated Learning in Industrial IoT. - Luca Barbieri; Sanaz Kianoush; Monica Nicoli; Luigi Serio; Stefano Savazzi (IEEE Internet Things J., 2025)