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1 Ergebnisse
1
Defense Against Reconstruction Attacks in Split Federated L..:
, In:
2023 International Joint Conference on Neural Networks (IJCNN)
,
Luo, Xingming
;
Zhao, Yaochi
;
Hu, Zhuhua
.. - p. 1-8 , 2023
Link:
https://doi.org/10.1109/IJCNN54540.2023.10191055
RT T1 <cTitle>2023 International Joint Conference on Neural Networks (IJCNN)</cTitle>: T1 <Title>Defense Against Reconstruction Attacks in Split Federated Learning Through Decreasing Correlation Between Inputs and Activations</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10191055&Exemplar=1&LAN=DE A1 Luo, Xingming A1 Zhao, Yaochi A1 Hu, Zhuhua A1 Zhu, Yanfei A1 Zhong, Jiezhuo YR 2023 SN 2161-4407 K1 Training K1 Deep learning K1 Privacy K1 Correlation K1 Federated learning K1 Neural networks K1 Mean square error methods K1 federated learning K1 split federated learning K1 distance correlation K1 dynamic channel pruning K1 privacy protection SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/IJCNN54540.2023.10191055 DO https://doi.org/10.1109/IJCNN54540.2023.10191055 SF ELIB - SuUB Bremen
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