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1 Ergebnisse
1
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Fe..:
, In:
2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
,
Arif, Huzaifa
;
Gittens, Alex
;
Chen, Pin-Yu
- p. 197-209 , 2023
Link:
https://doi.org/10.1109/SaTML54575.2023.00022
RT T1 <cTitle>2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)</cTitle>: T1 <Title>Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10136143&Exemplar=1&LAN=DE A1 Arif, Huzaifa A1 Gittens, Alex A1 Chen, Pin-Yu YR 2023 K1 Training K1 Deep learning K1 Adaptation models K1 Differential privacy K1 Codes K1 Federated learning K1 Transfer learning K1 Model Reprogramming K1 Differential Privacy K1 Federated Learning K1 Privacy-Accuracy Tradeoff SP 197 OP 209 LK http://dx.doi.org/https://doi.org/10.1109/SaTML54575.2023.00022 DO https://doi.org/10.1109/SaTML54575.2023.00022 SF ELIB - SuUB Bremen
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