Privacy-preserving federated transfer learning for defect identification from highly imbalanced image data in additive manufacturing.
Jiafeng TangZhibin ZhaoYanjie GuoChenxi WangXingwu ZhangRuqiang YanXuefeng ChenPublished in: Robotics Comput. Integr. Manuf. (2024)
Keyphrases
- privacy preserving
- transfer learning
- highly imbalanced
- privacy preserving data mining
- learning tasks
- vertically partitioned data
- labeled data
- cross domain
- class distribution
- active learning
- domain adaptation
- reinforcement learning
- machine learning
- semi supervised learning
- multi task
- machine learning algorithms
- text categorization
- target domain
- learning algorithm
- data sets
- text classification
- text mining
- data sources
- information retrieval
- databases
- test set
- unlabeled data
- cost sensitive
- support vector
- decision trees
- distributed data