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1 Ergebnisse
1
FedPrompt: Communication-Efficient and Privacy-Preserving P..:
, In:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Zhao, Haodong
;
Du, Wei
;
Li, Fangqi
.. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICASSP49357.2023.10095356
RT T1 <cTitle>ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10095356&Exemplar=1&LAN=DE A1 Zhao, Haodong A1 Du, Wei A1 Li, Fangqi A1 Li, Peixuan A1 Liu, Gongshen YR 2023 SN 2379-190X K1 Training K1 Privacy K1 Costs K1 Federated learning K1 Signal processing K1 Data models K1 Robustness K1 FL K1 prompt K1 PLM K1 split learning SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP49357.2023.10095356 DO https://doi.org/10.1109/ICASSP49357.2023.10095356 SF ELIB - SuUB Bremen
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