A differential privacy-preserving federated learning scheme with predictive maintenance of wind turbines based on deep learning for feature compression and anomaly detection with state assessment
Crossref DOI link: https://doi.org/10.1007/s12206-024-0616-9
Published Online: 2024-07-04
Published Print: 2024-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Chen, Huan
Hsu, Hsin-Yao
Hsieh, Jia-You
Hung, Hsiang-En
Text and Data Mining valid from 2024-07-01
Version of Record valid from 2024-07-01
Article History
Received: 31 July 2023
Revised: 6 February 2024
Accepted: 12 March 2024
First Online: 4 July 2024