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Lorenzo Cazzella
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SGDE: Secure generative data exchange for cross-silo federated learning
E Lomurno, A Archetti, L Cazzella, S Samele, L Di Perna, M Matteucci
Proceedings of the 2022 5th International Conference on Artificial …, 2022
112022
Deep learning of transferable mimo channel modes for 6g v2x communications
L Cazzella, D Tagliaferri, M Mizmizi, D Badini, C Mazzucco, M Matteucci, ...
IEEE Transactions on Antennas and Propagation 70 (6), 4127-4139, 2022
42022
Position-agnostic Algebraic Estimation of 6G V2X MIMO Channels via Unsupervised Learning
L Cazzella, D Tagliaferri, M Mizmizi, M Matteucci, D Badini, C Mazzucco, ...
2022 IEEE Wireless Communications and Networking Conference (WCNC), 740-745, 2022
32022
A Generative Federated Learning Framework for Differential Privacy
E Lomurno, L Di Perna, L Cazzella, S Samele, M Matteucci
arXiv preprint arXiv:2109.12062, 2021
32021
A Multi-Modal Simulation Framework to Enable Digital Twin-based V2X Communications in Dynamic Environments
L Cazzella, F Linsalata, M Magarini, M Matteucci, U Spagnolini
arXiv preprint arXiv:2303.06947, 2023
22023
Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systems
L Cazzella, M Mizmizi, D Tagliaferri, D Badini, M Matteucci, U Spagnolini
arXiv preprint arXiv:2401.12801, 2024
12024
Browser-enabled distributed crowdsensing
MA Bochicchio, A Longo, L Vaira, M Zappatore, L Cazzella
2017 4th Experiment@ International Conference (exp. at'17), 241-246, 2017
12017
Deep learning-based low-rank space-time subspace prediction for mmWave MIMO channels
L CAZZELLA
Italy, 2020
2020
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Articles 1–8