Overcoming Noisy and Irrelevant Data in Federated Learning.
Tiffany TuorShiqiang WangBong Jun KoChangchang LiuKin K. LeungPublished in: ICPR (2020)
Keyphrases
- data sources
- learning algorithm
- data sets
- background knowledge
- data collection
- data points
- data processing
- raw data
- online learning
- active learning
- image data
- noisy data
- learning process
- database
- human experts
- synthetic data
- distributed data
- learning models
- data quality
- high quality
- learning tasks
- experimental data
- statistical analysis
- data analysis
- supervised learning
- prior knowledge
- data structure
- data distribution
- high dimensional data
- original data
- small number
- probability distribution