Federated Learning Using Sparse-Adaptive Model Selection for Embedded Edge Computing.
Shan UllahDeok-Hwan KimPublished in: IEEE Access (2021)
Keyphrases
- model selection
- bayesian learning
- statistical learning
- cross validation
- learning machines
- unsupervised learning
- meta learning
- parameter estimation
- model selection criteria
- learning algorithm
- variable selection
- automatic model selection
- covariate shift
- marginal likelihood
- generalization bounds
- bayesian methods
- learning problems
- mixture model
- active learning
- generalization error
- learning tasks
- selection criterion
- regression model
- prior knowledge
- image segmentation