A Practical Approach on Performance Assessment of Federated Learning Algorithms for Defect Detection in Industrial Applications.
Eduard ZuluagaSondes JaziriAlberto TellaecheIker Pastor-LópezPublished in: IEEE Access (2023)
Keyphrases
- industrial applications
- defect detection
- learning algorithm
- machine learning
- feature extraction
- learning problems
- computational modeling
- learning scheme
- digital libraries
- machine learning algorithms
- automated visual inspection
- distributed systems
- industrial systems
- systems engineering
- reinforcement learning
- learning rate
- learning tasks
- active learning
- textured surfaces
- supervised learning
- transfer learning
- multi agent systems
- training examples
- bayesian networks
- training samples
- training data
- computer vision
- data sets