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Lorenza Giupponi
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Publications
- 2022
- [j32]Francesc Wilhelmi, Lorenza Giupponi, Paolo Dini:
Analysis and evaluation of synchronous and asynchronous FLchain. Comput. Networks 218: 109390 (2022) - 2021
- [j30]Marco Miozzo, Zoraze Ali, Lorenza Giupponi, Paolo Dini:
Distributed and Multi-Task Learning at the Edge for Energy Efficient Radio Access Networks. IEEE Access 9: 12491-12505 (2021) - [j28]Zoraze Ali, Lorenza Giupponi, Marco Miozzo, Paolo Dini:
Multi-Task Learning for Efficient Management of Beyond 5G Radio Access Network Architectures. IEEE Access 9: 158892-158907 (2021) - [j26]Hoang Duy Trinh, Ángel Fernández Gambín, Lorenza Giupponi, Michele Rossi, Paolo Dini:
Mobile Traffic Classification Through Physical Control Channel Fingerprinting: A Deep Learning Approach. IEEE Trans. Netw. Serv. Manag. 18(2): 1946-1961 (2021) - [i12]Francesc Wilhelmi, Lorenza Giupponi, Paolo Dini:
Blockchain-enabled Server-less Federated Learning. CoRR abs/2112.07938 (2021) - 2020
- [c60]Zoraze Ali, Marco Miozzo, Lorenza Giupponi, Paolo Dini, Stojan Z. Denic, Stavroula Vassaki:
Recurrent Neural Networks for Handover Management in Next-Generation Self-Organized Networks. PIMRC 2020: 1-6 - [i9]Zoraze Ali, Marco Miozzo, Lorenza Giupponi, Paolo Dini, Stojan Z. Denic, Stavroula Vassaki:
Recurrent Neural Networks for Handover Management in Next-Generation Self-Organized Networks. CoRR abs/2006.06526 (2020) - 2019
- [j22]Hoang Duy Trinh, Engin Zeydan, Lorenza Giupponi, Paolo Dini:
Detecting Mobile Traffic Anomalies Through Physical Control Channel Fingerprinting: A Deep Semi-Supervised Approach. IEEE Access 7: 152187-152201 (2019) - [c58]Hoang Duy Trinh, Lorenza Giupponi, Paolo Dini:
Urban Anomaly Detection by processing Mobile Traffic Traces with LSTM Neural Networks. SECON 2019: 1-8 - [i7]Hoang Duy Trinh, Ángel Fernández Gambín, Lorenza Giupponi, Paolo Dini:
Classification of Mobile Services and Apps through Physical Channel Fingerprinting: a Deep Learning Approach. CoRR abs/1910.11617 (2019) - 2018
- [c51]Hoang Duy Trinh, Lorenza Giupponi, Paolo Dini:
Mobile Traffic Prediction from Raw Data Using LSTM Networks. PIMRC 2018: 1827-1832 - 2017
- [c47]Hoang Duy Trinh, Nicola Bui, Joerg Widmer, Lorenza Giupponi, Paolo Dini:
Analysis and modeling of mobile traffic using real traces. PIMRC 2017: 1-6 - [c45]Marco Miozzo, Lorenza Giupponi, Michele Rossi, Paolo Dini:
Switch-On/Off Policies for Energy Harvesting Small Cells through Distributed Q-Learning. WCNC Workshops 2017: 1-6 - 2015
- [c37]Anna Dudnikova, Paolo Dini, Lorenza Giupponi, Daniela Panno:
Fuzzy multiple criteria switch off method for dense heterogeneous networks. CAMAD 2015: 211-215 - [c36]Anna Dudnikova, Paolo Dini, Lorenza Giupponi, Daniela Panno:
Multi-criteria decision for small cell switch off in ultra-dense LTE networks. ConTEL 2015: 1-8 - [c35]Marco Miozzo, Lorenza Giupponi, Michele Rossi, Paolo Dini:
Distributed Q-learning for energy harvesting Heterogeneous Networks. ICC Workshops 2015: 2006-2011
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