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

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

On the Latent Space of mmWave MIMO Channels for NLOS Identification in 5G-Advanced Systems. - Bernardo Camajori Tedeschini; Monica Nicoli; Moe Z. Win (IEEE J. Sel. Areas Commun., 2023)

A Traffic Model Based Approach to Parameter Server Design in Federated Learning Processes. - Bernardo Camajori Tedeschini; Stefano Savazzi; Monica Nicoli (IEEE Commun. Lett., 2023)

Cooperative Deep-Learning Positioning in mmWave 5G-Advanced Networks. - Bernardo Camajori Tedeschini; Monica Nicoli (IEEE J. Sel. Areas Commun., 2023)

Message Passing Neural Network Versus Message Passing Algorithm for Cooperative Positioning. - Bernardo Camajori Tedeschini; Mattia Brambilla; Monica Nicoli (IEEE Trans. Cogn. Commun. Netw., 2023)

Cooperative Positioning with Multi-Agent Reinforcement Learning. - Bernardo Camajori Tedeschini; Mattia Brambilla; Monica Nicoli; Moe Z. Win (FUSION, 2024)

Empowering 6G Positioning and Tracking with Bayesian Neural Networks. - Bernardo Camajori Tedeschini; Girim Kwon; Monica Nicoli; Moe Z. Win (ICC, 2024)

Pedestrian Positioning in Urban Environments with 5G Technology. - Lorenzo Italiano; Bernardo Camajori Tedeschini; Mattia Brambilla; Monica Nicoli (MedComNet, 2024)

Sidelink-Enabled Cooperative Localization for xG Non-Terrestrial Networks. - James C. Morrison; Nathan Schatz; Seungnyun Kim; Girim Kwon; Bernardo Camajori Tedeschini; Vijitha Weerackody; Andrea Conti 001; Moe Z. Win (MILCOM, 2024)

Location Verification in Next-Generation Non-Terrestrial Networks. - Nathan Schatz; Seungnyun Kim; Girim Kwon; Bernardo Camajori Tedeschini; Michael Ricard; Tyler Klein; Vijitha Weerackody; Andrea Conti 001; Moe Z. Win (MILCOM, 2024)

Split Consensus Federated Learning: An Approach for Distributed Training and Inference. - Bernardo Camajori Tedeschini; Mattia Brambilla; Monica Nicoli (IEEE Access, 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)

Integration of 5G and GNSS Technologies for Enhanced Positioning: An Experimental Study. - Mattia Brambilla; Marianna Alghisi; Bernardo Camajori Tedeschini; Alessandro Fumagalli; Florin-Catalin Grec; Lorenzo Italiano; Chiara Pileggi; Ludovico Biagi; Stefano Bianchi; Andrea Gatti 001; Alessandro Goia; Monica Nicoli; et al. (IEEE Open J. Commun. Soc., 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)

Deep-Learning-Based Radio Map Reconstruction for V2X Communications. - Sandra Roger 002; Mattia Brambilla; Bernardo Camajori Tedeschini; Carmen Botella-Mascarell; Maximo Cobos; Monica Nicoli (IEEE Trans. Veh. Technol., 2024)

Real-Time Bayesian Neural Networks for 6G Cooperative Positioning and Tracking. - Bernardo Camajori Tedeschini; Girim Kwon; Monica Nicoli; Moe Z. Win (IEEE J. Sel. Areas Commun., 2024)

Weighted Average Consensus Algorithms in Distributed and Federated Learning. - Bernardo Camajori Tedeschini; Stefano Savazzi; Monica Nicoli (IEEE Trans. Netw. Sci. Eng., 2025)

A Tutorial on 5G Positioning. - Lorenzo Italiano; Bernardo Camajori Tedeschini; Mattia Brambilla; Huiping Huang; Monica Nicoli; Henk Wymeersch (IEEE Commun. Surv. Tutorials, 2025)