Expand and Shrink: Federated Learning with Unlabeled Data Using Clustering.
Ajit KumarAnkit Kumar SinghSyed Saqib AliBong Jun ChoiPublished in: Sensors (2023)
Keyphrases
- unlabeled data
- active learning
- supervised learning
- learning algorithm
- semi supervised learning
- labeled data
- labeled and unlabeled data
- co training
- semi supervised
- data points
- positive examples
- learning process
- prior knowledge
- sample selection bias
- supervised learning algorithms
- unsupervised learning
- domain adaptation
- training data
- k means
- text classification
- training examples
- learning problems
- clustering algorithm
- data mining
- training set
- learning tasks
- reinforcement learning
- probabilistic model
- learning frameworks
- number of labeled examples
- labeling effort
- supervised and semi supervised