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
Huan Chen, Hsin-Yao Hsu, Jia‐You Hsieh, Hsiu‐Te Hung
Topics & Concepts
Scheme (mathematics)Anomaly detectionFeature (linguistics)State (computer science)Computer scienceCompression (physics)Differential privacyArtificial intelligenceDifferential (mechanical device)Anomaly (physics)Machine learningData miningEngineeringAerospace engineeringMathematicsAlgorithmMaterials scienceComposite materialPhysicsLinguisticsCondensed matter physicsMathematical analysisPhilosophyMachine Fault Diagnosis TechniquesPower System Reliability and MaintenanceElectricity Theft Detection Techniques