Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning.
Guogang ZhuXuefeng LiuXinghao WuShaojie TangChao TangJianwei NiuHao SuPublished in: CoRR (2024)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- machine learning
- unsupervised learning
- semi supervised classification
- label propagation
- learning problems
- active learning
- prior knowledge
- supervised learning
- graph based semi supervised learning
- training data
- learning models
- semi supervised learning algorithms
- labeled and unlabeled data
- manifold regularization
- pattern recognition
- co training
- labeled examples
- multi view
- semi supervised learning methods
- improve the classification accuracy
- maximum a posteriori
- multi view learning
- regularization framework
- domain adaptation
- transfer learning
- learning algorithm
- information retrieval