FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis.
Nan YangDong YuanCharles Z. LiuYongkun DengWei BaoPublished in: CoRR (2023)
Keyphrases
- incremental learning
- convergence analysis
- unlabeled data
- semi supervised
- supervised learning
- labeled data
- semi supervised learning
- co training
- active learning
- optimality conditions
- global convergence
- text categorization
- semi supervised classification
- labeled and unlabeled data
- unlabeled samples
- text classification
- class labels
- training data
- training set
- data points
- learning process
- unsupervised learning
- learning algorithm
- labeled training data
- approximation methods
- convergence rate
- multiple instance learning
- pairwise
- training examples
- learning problems
- transfer learning
- learning tasks
- training samples
- decision trees