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Luca Barbieri
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2020 – today
- 2024
- [j21]Damiano Fasani, Luca Barbieri
, Andrea Villa
Diagnostics of Internal Defects in Composite Overhead Insulators Using an Optic E-Field Sensor. Sensors 24(5): 1359 (2024) - [j20]Luca Barbieri
Deep Learning-Based Cooperative LiDAR Sensing for Improved Vehicle Positioning. IEEE Trans. Signal Process. 72: 1666-1682 (2024) - [c16]Akif Adas, Luca Barbieri, Satyesh Awasthi, Pietro Morri, Simone Mentasti, Stefano Arrigoni, Edoardo Sabbioni, Monica Nicoli:
LiDAR-Aided Cooperative Localization and Environmental Perception for CAVs. FUSION 2024: 1-8 - [c15]Luca Barbieri, Mattia Brambilla
A Compressed Decentralized Federated Learning Frame Work for Enhanced Environmental Awareness in V2V Networks. ICASSP Workshops 2024: 374-378 - [c14]Marco Piavanini, Luca Barbieri, Mattia Brambilla
Deep Unfolded Annealed Stein Particle Filter for Vehicle Tracking. ICASSP 2024: 13226-13230 - [c13]Francesco Pigato, Luca Barbieri, Mattia Brambilla, Monica Nicoli:
Autonomous Vehicle Positioning with LiDAR-Only Sensing: An Application on the RACECAR Dataset. SiPS 2024: 60-65 - [c12]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:
A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications. WiMob 2024: 124-129 - [i6]Antonio Boiano, Marco Di Gennaro, Luca Barbieri, Michele Carminati, Monica Nicoli, Alessandro Redondi, Stefano Savazzi
A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications. CoRR abs/2404.11698 (2024) - [i5]Usevalad Milasheuski, Luca Barbieri, Bernardo Camajori Tedeschini, Monica Nicoli, Stefano Savazzi:
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks. CoRR abs/2404.18519 (2024) - [i4]Luca Barbieri, Stefano Savazzi, Monica Nicoli:
Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT. CoRR abs/2405.05855 (2024) - [i3]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, Luigi Serio:
A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers. CoRR abs/2410.13869 (2024) - 2023
- [b1]Luca Barbieri:
Cooperative Processing and Learning Methods for High-Resolution Environmental Perception. Polytechnic University of Milan, Italy, 2023 - [j19]Luca Barbieri
A Layer Selection Optimizer for Communication-Efficient Decentralized Federated Deep Learning. IEEE Access 11: 22155-22173 (2023) - [j18]Andrea Villa
A multi-resolution method for internal partial discharge simulation. J. Comput. Phys. 491: 112362 (2023) - [j17]Bernardo Camajori Tedeschini
Cooperative Lidar Sensing for Pedestrian Detection: Data Association Based on Message Passing Neural Networks. IEEE Trans. Signal Process. 71: 3028-3042 (2023) - [c11]Luca Barbieri, Stefano Savazzi
A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification. CAMAD 2023: 213-218 - [c10]Luca Barbieri, Osvaldo Simeone, Monica Nicoli:
Channel-Driven Decentralized Bayesian Federated Learning for Trustworthy Decision Making in D2D Networks. ICASSP 2023: 1-5 - [c9]Luca Barbieri, Bernardo Camajori Tedeschini
Implicit Vehicle Positioning with Cooperative Lidar Sensing. ICASSP 2023: 1-5 - [c8]Luca Barbieri, Mattia Brambilla
Deep Neural Networks for Cooperative Lidar Localization in Vehicular Networks. ICC 2023: 185-190 - [c7]Marco Piavanini, Luca Barbieri, Mattia Brambilla
Annealed Stein Particle Filter for Mobile Positioning in Indoor Environments. ICC 2023: 2510-2515 - [i2]Luca Barbieri, Stefano Savazzi, Sanaz Kianoush, Monica Nicoli, Luigi Serio:
A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification. CoRR abs/2310.08087 (2023) - 2022
- [j16]Bernardo Camajori Tedeschini
Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation. IEEE Access 10: 8693-8708 (2022) - [j15]Andrea Villa
Simulation of surface-plasma interaction with high surface conductivity. J. Comput. Phys. 456: 111029 (2022) - [j14]Marco Piavanini, Luca Barbieri
A Self-Calibrating Localization Solution for Sport Applications with UWB Technology. Sensors 22(23): 9363 (2022) - [j13]Luca Barbieri
Decentralized federated learning for extended sensing in 6G connected vehicles. Veh. Commun. 33: 100396 (2022) - [c6]Bernardo Camajori Tedeschini, Mattia Brambilla, Luca Barbieri, Monica Nicoli:
Addressing data association by message passing over graph neural networks. FUSION 2022: 1-7 - [c5]Luca Barbieri, Stefano Savazzi
Communication-efficient Distributed Learning in V2X Networks: Parameter Selection and Quantization. GLOBECOM 2022: 603-608 - [c4]Marco Piavanini, Luca Barbieri, Mattia Brambilla
A Calibration Method for Antenna Delay Estimation and Anchor Self-Localization in UWB Systems. MetroInd4.0& IoT 2022: 173-177 - 2021
- [j12]Andrea Villa, Luca Barbieri, Roberto Malgesini
Discretization of Poisson's equation in two domains with non algebraic interface conditions for plasma simulations. Appl. Math. Comput. 403: 126179 (2021) - [j11]Stefano Savazzi
Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems. IEEE Commun. Mag. 59(2): 16-21 (2021) - [j10]Andrea Villa
An uncoupled implementation of the local mean energy plasma model. J. Comput. Phys. 447: 110674 (2021) - [j9]Luca Barbieri
UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment. IEEE Trans. Instrum. Meas. 70: 1-18 (2021) - [j8]Luca Barbieri
Erratum to "UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment". IEEE Trans. Instrum. Meas. 70: 1 (2021) - [c3]Luca Barbieri, Stefano Savazzi
Decentralized Federated Learning for Road User Classification in Enhanced V2X Networks. ICC Workshops 2021: 1-6 - [i1]Stefano Savazzi, Monica Nicoli, Mehdi Bennis, Sanaz Kianoush, Luca Barbieri:
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems. CoRR abs/2101.03367 (2021) - 2020
- [j7]Andrea Villa, Luca Barbieri, Roberto Malgesini:
Three dimensional simulation of the dynamics of electro active polymers using shell elements. Appl. Math. Comput. 377: 125160 (2020) - [c2]Gabriella Crotti, Domenico Giordano, Giovanni D'Avanzo
Measurement of Dynamic Voltage Variation Effect on Instrument Transformers for Power Grid Applications. I2MTC 2020: 1-6 - [c1]Luca Barbieri, Mattia Brambilla
UWB Real-Time Location Systems for Smart Factory: Augmentation Methods and Experiments. PIMRC 2020: 1-7
2010 – 2019
- 2019
- [j6]Marco Faifer
Overcoming Frequency Response Measurements of Voltage Transformers: An Approach Based on Quasi-Sinusoidal Volterra Models. IEEE Trans. Instrum. Meas. 68(8): 2800-2807 (2019) - 2017
- [j5]Andrea Villa
An implicit three-dimensional fractional step method for the simulation of the corona phenomenon. Appl. Math. Comput. 311: 85-99 (2017) - [j4]Andrea Villa
An efficient algorithm for corona simulation with complex chemical models. J. Comput. Phys. 337: 233-251 (2017) - [j3]Andrea Villa
A PDE-based partial discharge simulator. J. Comput. Phys. 345: 687-705 (2017) - 2015
- [j2]Andrea Villa
Stability of the discretization of the electron avalanche phenomenon. J. Comput. Phys. 296: 369-381 (2015) - 2013
- [j1]Andrea Villa
An asymptotic preserving scheme for the streamer simulation. J. Comput. Phys. 242: 86-102 (2013)
Coauthor Index
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last updated on 2024-12-18 18:28 CET by the dblp team
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