Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift.
Sean AugensteinAndrew HardKurt PartridgeRajiv MathewsPublished in: CoRR (2021)
Keyphrases
- data sets
- data sources
- prior knowledge
- data analysis
- data collection
- learning algorithm
- online learning
- data points
- learning models
- data distribution
- background knowledge
- database
- training data
- high quality
- original data
- data processing
- distributed systems
- digital libraries
- learning systems
- raw data
- multi agent
- hidden variables
- end users
- distributed data
- active learning
- data mining
- learning process
- machine learning
- uniformly distributed
- experimental data
- decision trees
- missing data
- synthetic data
- unsupervised learning
- computer systems
- image data
- probability distribution
- data structure
- query processing