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1 Ergebnisse
1
FedRFID: Federated Learning for Radio Frequency Fingerprint..:
, In:
GLOBECOM 2022 - 2022 IEEE Global Communications Conference
,
Shi, Jibo
;
Zhang, Han
;
Wang, Sen
... - p. 154-159 , 2022
Link:
https://doi.org/10.1109/GLOBECOM48099.2022.10001439
RT T1 <cTitle>GLOBECOM 2022 - 2022 IEEE Global Communications Conference</cTitle>: T1 <Title>FedRFID: Federated Learning for Radio Frequency Fingerprint Identification of WiFi Signals</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10001439&Exemplar=1&LAN=DE A1 Shi, Jibo A1 Zhang, Han A1 Wang, Sen A1 Ge, Bin A1 Mao, Shiwen A1 Lin, Yun YR 2022 K1 Radio frequency K1 Performance evaluation K1 Data privacy K1 Privacy K1 Federated learning K1 Smart homes K1 Fingerprint recognition K1 Privacy Security K1 RF Fingerprint Identification K1 Federated Learning K1 Cognitive Radio SP 154 OP 159 LK http://dx.doi.org/https://doi.org/10.1109/GLOBECOM48099.2022.10001439 DO https://doi.org/10.1109/GLOBECOM48099.2022.10001439 SF ELIB - SuUB Bremen
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