FedMSA: A Model Selection and Adaptation System for Federated Learning.
Rui SunYinhao LiTejal ShahRingo W. H. ShamTomasz SzydloBin QianDhaval ThakkerRajiv RanjanPublished in: Sensors (2022)
Keyphrases
- model selection
- covariate shift
- statistical learning
- cross validation
- meta learning
- learning process
- bayesian learning
- hyperparameters
- machine learning
- learning machines
- unsupervised learning
- learning algorithm
- variable selection
- sample size
- parameter determination
- feature selection
- model selection criteria
- prior knowledge
- automatic model selection
- information criterion
- statistical inference
- selection criterion
- learning tasks
- bayesian methods
- active learning
- error estimation
- supervised learning
- generalization error
- parameter estimation
- learning problems