Federated semi-supervised learning with tolerant guidance and powerful classifier in edge scenarios.
Jinbo WangXikai PeiRuijin WangFengli ZhangTing ChenPublished in: Inf. Sci. (2024)
Keyphrases
- semi supervised learning
- training data
- co training
- unlabeled data
- labeled training data
- labeled data
- semi supervised
- labeled and unlabeled data
- multi label classification
- supervised classifiers
- semi supervised learning methods
- unlabeled samples
- supervised learning
- class labels
- labeled samples
- semi supervised classification
- multiple kernel learning
- active learning
- training examples
- labeled examples
- machine learning
- text categorization
- unsupervised learning
- instance selection
- graph based semi supervised learning
- label propagation
- labeled instances
- manifold regularization
- transfer learning
- multiple instance learning
- feature space
- learning problems
- learning algorithm
- feature selection
- decision trees
- semi supervised learning algorithms
- training set
- real world
- boosting framework
- training instances
- text classification
- prior knowledge
- classification accuracy
- support vector machine
- data sets
- linear classifiers