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1 Ergebnisse
1
Minimizing Layerwise Activation Norm Improves Generalizatio..:
, In:
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Yashwanth, M.
;
Nayak, Gaurav Kumar
;
Rangwani, Harsh
... - p. 2276-2285 , 2024
Link:
https://doi.org/10.1109/WACV57701.2024.00228
RT T1 <cTitle>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10484492&Exemplar=1&LAN=DE A1 Yashwanth, M. A1 Nayak, Gaurav Kumar A1 Rangwani, Harsh A1 Singh, Arya A1 Babu, R. Venkatesh A1 Chakraborty, Anirban YR 2024 SN 2642-9381 K1 Training K1 Federated learning K1 Computational modeling K1 Training data K1 Lead K1 Eigenvalues and eigenfunctions K1 Data models K1 Algorithms K1 Machine learning architectures K1 formulations K1 and algorithms K1 Explainable K1 fair K1 accountable K1 privacy-preserving K1 ethical computer vision SP 2276 OP 2285 LK http://dx.doi.org/https://doi.org/10.1109/WACV57701.2024.00228 DO https://doi.org/10.1109/WACV57701.2024.00228 SF ELIB - SuUB Bremen
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