Fast deep autoencoder for federated learning

•A fast and privacy-preserving training algorithm for deep autoencoders is proposed.•The encoder block of the autoencoder is trained using Singular Value Decomposition.•The decoder block of the autoencoder is trained layer by layer.•The non-iterative nature of the proposed training algorithm makes i...

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Bibliographic Details

Published in:	Pattern recognition Vol. 143; p. 109805
Main Authors:	Novoa-Paradela, David, Fontenla-Romero, Oscar, Guijarro-Berdiñas, Bertha
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2023
Subjects:	Anomaly detection Deep autoencoder Edge computing Federated learning Machine learning Federated learning Anomaly detection Machine learning Deep autoencoder Edge computing
ISSN:	0031-3203
Online Access:	Get full text
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