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1 Ergebnisse
1
Compression Boosts Differentially Private Federated Learnin:
, In:
2021 IEEE European Symposium on Security and Privacy (EuroS&P)
,
Kerkouche, Raouf
;
Acs, Gergely
;
Castelluccia, Claude
. - p. 304-318 , 2021
Link:
https://doi.org/10.1109/EuroSP51992.2021.00029
RT T1 <cTitle>2021 IEEE European Symposium on Security and Privacy (EuroS&P)</cTitle>: T1 <Title>Compression Boosts Differentially Private Federated Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9581200&Exemplar=1&LAN=DE A1 Kerkouche, Raouf A1 Acs, Gergely A1 Castelluccia, Claude A1 Geneves, Pierre YR 2021 K1 Differential privacy K1 Privacy K1 Costs K1 Sensitivity K1 Training data K1 Bandwidth K1 Collaborative work K1 Federated Learning K1 Compressive Sensing K1 Differential Privacy K1 Compression K1 Denoising K1 Bandwidth Efficiency K1 Scalability SP 304 OP 318 LK http://dx.doi.org/https://doi.org/10.1109/EuroSP51992.2021.00029 DO https://doi.org/10.1109/EuroSP51992.2021.00029 SF ELIB - SuUB Bremen
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