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AI6G@WCCI 2022: Padova, Italy
- Alessandro Renda, Pietro Ducange, Tamás Borsos, Hannu Flinck:
Short Paper Proceedings of the First International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks (AI6G 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI2022), Padova, Italy, July 21, 2022. CEUR Workshop Proceedings 3189, CEUR-WS.org 2022 - Constantine Ayimba, Vincenzo Sciancalepore, Paolo Casari, Vincenzo Mancuso:
I Move U Move: V2X-Enabled Wireless Towing. - Antonio Galli, Pietro G. Giardina, Maria Guta, Leonardo Lossi, Antonio Mancina, Vincenzo Moscato, Fabio Patrone, Cesare Roseti, Simon Pietro Romano, Giancarlo Sperlí, Francesco Zampognaro:
AI for Zero-Touch Management of Satellite Networks in B5G and 6G Infrastructures. - Ankit Gupta, Mathini Sellathurai, Venkata Vakamulla Mani, Tharmalingam Ratnarajah:
Incremental Learning-based MIMO Relay Selection. - Ankit Gupta, Mathini Sellathurai, Tharmalingam Ratnarajah:
A Stacked Autoencoder-based Decode-and-Forward Relay Networks with I/Q Imbalance. - Miltiadis C. Filippou, Vasiliki Lamprousi, Jafar Mohammadi, Mattia Merluzzi, Elif Ustundag Soykan, Tamás Borsos, Nandana Rajatheva, Nuwanthika Rajapaksha, Luc Le Magoarou, Pietro Piscione, András Benczúr, Quentin Lampin, Guillaume Larue, Dani Korpi, Pietro Ducange, Alessandro Renda, Hamed Farhadi, Johan Haraldson, Leonardo Gomes Baltar, Emilio Calvanese Strinati, Panagiotis Demestichas, Emrah Tomur:
Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective. - Yiqun Ge, Wuxian Shi, Jian Wang, Rong Li, Wen Tong:
Joint Message Passing and Auto-Encoder for Deep Learning. - José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Noferi, Alessandro Renda, Giovanni Stea, Antonio Virdis:
Towards Trustworthy AI for QoE prediction in B5G/6G Networks. - Ferhat Karakoç, Leyli Karaçay, Pinar Çomak, Utku Gülen, Ramin Fuladi, Elif Ustundag Soykan:
A Security-Friendly Privacy Solution for Federated Learning. - Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta:
FedTCS: Federated Learning with Time-based Client Selection to Optimize Edge Resources. - Domokos M. Kelen, Péter Kersch, András A. Benczúr:
Causal Explanations for Performance in Radio Networks. - Simone Pampaloni, Nicola Tonellotto, Carlo Vallati:
Latency-Energy Tradeoffs in Federated Learning on Resource Constrained Edge Computing Systems.
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last updated on 2025-01-06 01:44 CET by the dblp team
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