Semi-supervised Learning in Distributed Split Learning Architecture and IoT Applications.
Mahdi BarhoushAhmad AyadAnke SchmeinkPublished in: ISADS (2023)
Keyphrases
- semi supervised learning
- supervised learning
- learning problems
- semi supervised
- unsupervised learning
- active learning
- co training
- machine learning
- unlabeled data
- graph transduction
- labeled and unlabeled data
- semi supervised classification
- domain adaptation
- boosting framework
- learning process
- learning models
- learning algorithm
- labeled data
- learning frameworks
- multi view learning
- label propagation
- incremental learning
- training data
- labeled instances
- covariate shift
- data mining
- multi task learning
- inductive inference
- decision trees
- discriminative learning
- supervised learning algorithms
- prior knowledge
- graph based semi supervised learning
- multi view