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Fast deep autoencoder for federated learning
(Elsevier Ltd, 2023-11)
[Abstract]: This paper presents a novel, fast and privacy preserving implementation of deep autoencoders. DAEF (Deep AutoEncoder for Federated learning), unlike traditional neural networks, trains a deep autoencoder network ...
Data-driven predictive maintenance framework for railway systems
(IOS Press, 2023)
[Abstract]: The emergence of the Industry 4.0 trend brings automation and data exchange to industrial manufacturing. Using computational systems and IoT devices allows businesses to collect and deal with vast volumes of ...