Bernardo Camajori Tedeschini

Orcid: 0000-0002-2953-0481

According to our database1, Bernardo Camajori Tedeschini authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Deep-Learning-Based Radio Map Reconstruction for V2X Communications.
IEEE Trans. Veh. Technol., March, 2024

Deep Learning-Based Cooperative LiDAR Sensing for Improved Vehicle Positioning.
IEEE Trans. Signal Process., 2024

On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks.
CoRR, 2024

Pedestrian Positioning in Urban Environments with 5G Technology.
Proceedings of the 22nd Mediterranean Communication and Computer Networking Conference, 2024

2023
Message Passing Neural Network Versus Message Passing Algorithm for Cooperative Positioning.
IEEE Trans. Cogn. Commun. Netw., December, 2023

Cooperative Deep-Learning Positioning in mmWave 5G-Advanced Networks.
IEEE J. Sel. Areas Commun., December, 2023

A Traffic Model Based Approach to Parameter Server Design in Federated Learning Processes.
IEEE Commun. Lett., July, 2023

On the Latent Space of mmWave MIMO Channels for NLOS Identification in 5G-Advanced Systems.
IEEE J. Sel. Areas Commun., June, 2023

Cooperative Lidar Sensing for Pedestrian Detection: Data Association Based on Message Passing Neural Networks.
IEEE Trans. Signal Process., 2023

Implicit Vehicle Positioning with Cooperative Lidar Sensing.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation.
IEEE Access, 2022

Addressing data association by message passing over graph neural networks.
Proceedings of the 25th International Conference on Information Fusion, 2022


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