FedLGAN: a method for anomaly detection and repair of hydrological telemetry data based on federated learning

FedLGAN: a method for anomaly detection and repair of hydrological telemetry data based on federated learning

The existing data repair methods primarily focus on addressing missing data issues by utilizing variational autoencoders to learn the underlying distribution and generate content that represents the missing parts, thus achieving data repair. However, this method is only applicable to data missing pr...

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Bibliographic Details
Main Authors:	Zheliang Chen, Xianhan Ni, Huan Li, Xiangjie Kong
Format:	Article
Language:	English
Published:	PeerJ Inc. 2023-11-01
Series:	PeerJ Computer Science
Subjects:	Federated learning Anomaly detection Data repair Generative adversarial network Long short-term memory networks
Online Access:	https://peerj.com/articles/cs-1664.pdf

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