Hier-SFL: Client-edge-cloud collaborative traffic classification framework based on hierarchical federated split learning.
Tian QinGuang ChengYichen WeiZifan YaoPublished in: Future Gener. Comput. Syst. (2023)
Keyphrases
- supervised learning
- distance metric learning
- learning algorithm
- unsupervised learning
- multi category
- learning scheme
- learning process
- decision trees
- kernel learning
- online learning
- feature selection
- classification method
- incremental learning
- classification accuracy
- learning phase
- learning tasks
- distributed learning
- learning systems
- support vector
- reinforcement learning
- multiscale
- classification algorithm
- class labels
- machine learning algorithms
- learning problems
- support vector machine svm
- edge information
- learning activities
- active learning
- training set
- kernel machines
- declarative language
- max margin learning