Federated Active Learning (F-AL): An Efficient Annotation Strategy for Federated Learning.
Jin-Hyun AhnYeeun MaSeoyun ParkCheolwoo YouPublished in: IEEE Access (2024)
Keyphrases
- active learning
- learning algorithm
- learning process
- learning systems
- online learning
- supervised learning
- machine learning
- learning problems
- learning tasks
- metadata
- semi supervised
- empirical studies
- reinforcement learning
- learning strategies
- exploration exploitation
- prior knowledge
- training set
- digital libraries
- unsupervised learning
- sample size
- databases
- learning community
- automatic annotation
- version space
- selective sampling