A Framework for Moving Target Defense based on Federated Semi-Supervised Learning.
Wanying LuWenbin ZhaiFeng WangYu FanPublished in: CECCT (2023)
Keyphrases
- semi supervised learning
- semi supervised
- manifold regularization
- unlabeled data
- labeled data
- discriminative models
- supervised learning
- unsupervised learning
- semi supervised classification
- multiple instance learning
- regularization framework
- machine learning
- graph based semi supervised learning
- learning frameworks
- semi supervised learning setting
- moving target defense
- co training
- labeled and unlabeled data
- improve the classification accuracy
- multi view learning
- learning problems
- information extraction
- active learning
- pairwise
- decision trees
- learning models