Luca Barbieri
Orcid: 0000-0002-8948-8158
According to our database1,
Luca Barbieri
authored at least 43 papers
between 2013 and 2025.
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Bibliography
2025
On the Impact of Model Compression for Bayesian Federated Learning: An Analysis on Healthcare Data.
IEEE Signal Process. Lett., 2025
2024
Diagnostics of Internal Defects in Composite Overhead Insulators Using an Optic E-Field Sensor.
Sensors, March, 2024
IEEE Trans. Signal Process., 2024
A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers.
CoRR, 2024
Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT.
CoRR, 2024
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks.
CoRR, 2024
A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications.
CoRR, 2024
A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications.
Proceedings of the 20th International Conference on Wireless and Mobile Computing, 2024
Autonomous Vehicle Positioning with LiDAR-Only Sensing: An Application on the RACECAR Dataset.
Proceedings of the IEEE Workshop on Signal Processing Systemsm, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
A Compressed Decentralized Federated Learning Frame Work for Enhanced Environmental Awareness in V2V Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 27th International Conference on Information Fusion, 2024
2023
J. Comput. Phys., October, 2023
Cooperative Processing and Learning Methods for High-Resolution Environmental Perception
PhD thesis, 2023
Cooperative Lidar Sensing for Pedestrian Detection: Data Association Based on Message Passing Neural Networks.
IEEE Trans. Signal Process., 2023
A Layer Selection Optimizer for Communication-Efficient Decentralized Federated Deep Learning.
IEEE Access, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Channel-Driven Decentralized Bayesian Federated Learning for Trustworthy Decision Making in D2D Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023
A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification.
Proceedings of the 28th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks , 2023
2022
Veh. Commun., 2022
Sensors, 2022
J. Comput. Phys., 2022
Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation.
IEEE Access, 2022
A Calibration Method for Antenna Delay Estimation and Anchor Self-Localization in UWB Systems.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2022
Communication-efficient Distributed Learning in V2X Networks: Parameter Selection and Quantization.
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the 25th International Conference on Information Fusion, 2022
2021
Erratum to "UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment".
IEEE Trans. Instrum. Meas., 2021
UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment.
IEEE Trans. Instrum. Meas., 2021
J. Comput. Phys., 2021
Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems.
IEEE Commun. Mag., 2021
Discretization of Poisson's equation in two domains with non algebraic interface conditions for plasma simulations.
Appl. Math. Comput., 2021
Decentralized Federated Learning for Road User Classification in Enhanced V2X Networks.
Proceedings of the IEEE International Conference on Communications Workshops, 2021
2020
Three dimensional simulation of the dynamics of electro active polymers using shell elements.
Appl. Math. Comput., 2020
UWB Real-Time Location Systems for Smart Factory: Augmentation Methods and Experiments.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020
Measurement of Dynamic Voltage Variation Effect on Instrument Transformers for Power Grid Applications.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2019
Overcoming Frequency Response Measurements of Voltage Transformers: An Approach Based on Quasi-Sinusoidal Volterra Models.
IEEE Trans. Instrum. Meas., 2019
2017
J. Comput. Phys., 2017
An implicit three-dimensional fractional step method for the simulation of the corona phenomenon.
Appl. Math. Comput., 2017
2015
J. Comput. Phys., 2015
2013