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1 Ergebnisse
1
Federated Learning for Privacy-Preserving Intrusion Detecti..:
, In:
2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
,
Azeez, Sarmad Dheyaa
;
Ilyas, Muhammad
;
Bako, Imad Matti
- p. 1-7 , 2024
Link:
https://doi.org/10.1109/HORA61326.2024.10550685
RT T1
2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
: T1
Federated Learning for Privacy-Preserving Intrusion Detection in IoT Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-10550685&Exemplar=1&LAN=DE A1 Azeez, Sarmad Dheyaa A1 Ilyas, Muhammad A1 Bako, Imad Matti YR 2024 K1 Privacy K1 Federated learning K1 Scalability K1 Refining K1 Intrusion detection K1 Telecommunication traffic K1 Internet of Things K1 IoT networks K1 leverages the Federated Averaging (FedAvg) K1 privacy Intrusion Detection SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/HORA61326.2024.10550685 DO https://doi.org/10.1109/HORA61326.2024.10550685 SF ELIB - SuUB Bremen
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