User Selection for Federated Learning in a Wireless Environment: A Process to Minimize the Negative Effect of Training Data Correlation and Improve Performance.
Chen SunSongtao WuTao CuiPublished in: IEEE Veh. Technol. Mag. (2022)
Keyphrases
- training data
- learning algorithm
- supervised learning
- learning systems
- active learning
- classification accuracy
- training process
- learning problems
- end users
- negative examples
- data sets
- online learning
- learning process
- feature selection
- bayesian networks
- decision trees
- background knowledge
- information retrieval
- neural network