| Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems S Savazzi, M Nicoli, M Bennis, S Kianoush, L Barbieri IEEE Communications Magazine 59, 16-21, 2021 | 153 | 2021 |
| UWB localization in a smart factory: Augmentation methods and experimental assessment L Barbieri, M Brambilla, A Trabattoni, S Mervic, M Nicoli IEEE Transactions on Instrumentation and Measurement 70, 1-18, 2021 | 144 | 2021 |
| Decentralized federated learning for healthcare networks: A case study on tumor segmentation BC Tedeschini, S Savazzi, R Stoklasa, L Barbieri, I Stathopoulos, M Nicoli, ... IEEE access 10, 8693-8708, 2022 | 122 | 2022 |
| Decentralized federated learning for extended sensing in 6G connected vehicles L Barbieri, S Savazzi, M Brambilla, M Nicoli Vehicular Communications 33, 100396, 2022 | 100 | 2022 |
| Decentralized federated learning for road user classification in enhanced V2X networks L Barbieri, S Savazzi, M Nicoli 2021 IEEE international conference on communications workshops (ICC …, 2021 | 23 | 2021 |
| UWB real-time location systems for smart factory: Augmentation methods and experiments L Barbieri, M Brambilla, R Pitic, A Trabattoni, S Mervic, M Nicoli 2020 IEEE 31st annual international symposium on personal, indoor and mobile …, 2020 | 20 | 2020 |
| Cooperative lidar sensing for pedestrian detection: Data association based on message passing neural networks BC Tedeschini, M Brambilla, L Barbieri, G Balducci, M Nicoli IEEE Transactions on Signal Processing, 2023 | 19 | 2023 |
| A layer selection optimizer for communication-efficient decentralized federated deep learning L Barbieri, S Savazzi, M Nicoli IEEE Access 11, 22155-22173, 2023 | 18 | 2023 |
| A self-calibrating localization solution for sport applications with UWB technology M Piavanini, L Barbieri, M Brambilla, M Cerutti, S Ercoli, A Agili, M Nicoli Sensors 22 (23), 9363, 2022 | 15 | 2022 |
| Addressing data association by message passing over graph neural networks BC Tedeschini, M Brambilla, L Barbieri, M Nicoli 2022 25th international conference on information fusion (FUSION), 01-07, 2022 | 14 | 2022 |
| Communication-efficient distributed learning in V2X networks: Parameter selection and quantization L Barbieri, S Savazzi, M Nicoli GLOBECOM 2022-2022 IEEE Global Communications Conference, 603-608, 2022 | 11 | 2022 |
| Implicit vehicle positioning with cooperative lidar sensing L Barbieri, BC Tedeschini, M Brambilla, M Nicoli ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 10 | 2023 |
| A calibration method for antenna delay estimation and anchor self-localization in UWB systems M Piavanini, L Barbieri, M Brambilla, M Cerutti, S Ercoli, A Agili, M Nicoli 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT …, 2022 | 9 | 2022 |
| Deep Learning-based Cooperative LiDAR Sensing for Improved Vehicle Positioning L Barbieri, BC Tedeschini, M Brambilla, M Nicoli IEEE Transactions on Signal Processing, 2024 | 8 | 2024 |
| A tiny transformer-based anomaly detection framework for IoT solutions L Barbieri, M Brambilla, M Stefanutti, C Romano, N De Carlo, M Roveri IEEE Open Journal of Signal Processing 4, 462-478, 2023 | 7 | 2023 |
| Channel-driven decentralized Bayesian federated learning for trustworthy decision making in D2D networks L Barbieri, O Simeone, M Nicoli ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 7 | 2023 |
| A carbon tracking model for federated learning: Impact of quantization and sparsification L Barbieri, S Savazzi, S Kianoush, M Nicoli, L Serio 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design …, 2023 | 5 | 2023 |
| Deep neural networks for cooperative lidar localization in vehicular networks L Barbieri, M Brambilla, M Nicoli ICC 2023-IEEE International Conference on Communications, 185-190, 2023 | 4 | 2023 |
| On the impact of data heterogeneity in federated learning environments with application to healthcare networks U Milasheuski, L Barbieri, BC Tedeschini, M Nicoli, S Savazzi 2024 IEEE Conference on Artificial Intelligence (CAI), 1017-1023, 2024 | 3 | 2024 |
| Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT L Barbieri, S Savazzi, M Nicoli arXiv preprint arXiv:2405.05855, 2024 | 3 | 2024 |
Monica NicoliAssociate Professor, Politecnico di MilanoVerified email at polimi.it
