FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning.
Felix SattlerTim KorjakowRoman RischkeWojciech SamekPublished in: CoRR (2021)
Keyphrases
- data sets
- data sources
- prior knowledge
- training data
- data quality
- unsupervised learning
- data analysis
- database
- raw data
- active learning
- experimental data
- learning process
- learning models
- small number
- data distribution
- synthetic data
- labeled data
- bayesian methods
- data collection
- data processing
- knowledge discovery
- data points
- data structure
- reinforcement learning
- online learning
- supervised learning
- end users
- sensor data
- xml documents
- pairwise
- human experts
- high quality
- machine learning
- distributed data
- federated databases