Keyphrases
Privacy-preserving
100%
Gradient Boosted Trees
100%
Bearing Fault Diagnosis
100%
Vertical Federated Learning
100%
Collaborative Bearing
100%
Data Privacy
66%
Model Performance
33%
Learning Model
33%
Diagnosis Approach
33%
Fault Diagnosis
33%
Negative Effects
33%
Anonymity
33%
Homomorphic Encryption
33%
Low Quality Data
33%
Model Privacy
33%
Model Information
33%
Data-driven Fault Diagnosis
33%
Bearing Fault
33%
Collaborative Fault Diagnosis
33%
Fault Diagnosis Model
33%
Fault Case
33%
Data Silos
33%
Challenging Issues
33%
Typical Scenario
33%
Boosted Trees
33%
Autoencoder Model
33%
Encryption Protocols
33%
Computer Science
Federated Learning
100%
Privacy Preserving
100%
Fault Diagnosis
100%
Gradient Boosting Tree
100%
Data Privacy
40%
Information Model
20%
Homomorphic Encryption
20%
Performance Model
20%
Autoencoder
20%
Case Study
20%
Anonymity
20%
Negative Effect
20%