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1 Ergebnisse
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Edge Learning for 6G-Enabled Internet of Things: A Comprehe..:
Ferrag, Mohamed Amine
;
Friha, Othmane
;
Kantarci, Burak
...
IEEE Communications Surveys & Tutorials. 25 (2023) 4 - p. 2654-2713 , 2023
Link:
https://doi.org/10.1109/comst.2023.3317242
RT Journal T1
Edge Learning for 6G-Enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_comst.2023.3317242&Exemplar=1&LAN=DE A1 Ferrag, Mohamed Amine A1 Friha, Othmane A1 Kantarci, Burak A1 Tihanyi, Norbert A1 Cordeiro, Lucas A1 Debbah, Merouane A1 Hamouda, Djallel A1 Al-Hawawreh, Muna A1 Choo, Kim-Kwang Raymond PB Institute of Electrical and Electronics Engineers (IEEE) YR 2023 SN 1553-877X SN 2373-745X JF IEEE Communications Surveys & Tutorials VO 25 IS 4 SP 2654 OP 2713 LK http://dx.doi.org/https://doi.org/10.1109/comst.2023.3317242 DO https://doi.org/10.1109/comst.2023.3317242 SF ELIB - SuUB Bremen
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