FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients.
Xinchi QiuYan GaoLorenzo SaniHeng PanWanru ZhaoPedro P. B. de GusmaoMina AlibeigiAlex IacobNicholas D. LanePublished in: CoRR (2024)
Keyphrases
- semi supervised learning
- unlabeled data
- label propagation
- labeled data
- multi label classification
- semi supervised
- partially labeled
- class labels
- multi instance learning
- supervised learning
- unsupervised learning
- semi supervised classification
- unlabeled training data
- active learning
- labeled examples
- machine learning
- label information
- manifold regularization
- co training
- unlabeled instances
- training data
- labeled and unlabeled data
- text classification
- learning problems
- learning models
- semi supervised learning methods
- text categorization
- unlabeled examples
- unlabeled documents
- multi instance
- graph based semi supervised learning
- semi supervised learning algorithms
- high dimensional
- e learning
- unlabeled samples
- learning algorithm
- learning process
- dimensionality reduction
- multi label
- data mining