Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference.
Conor HassanMatthew SuttonAntonietta MiraKerrie L. MengersenPublished in: CoRR (2024)
Keyphrases
- data sets
- prior knowledge
- data distribution
- data collection
- data sources
- data processing
- data points
- experimental data
- synthetic data
- learning models
- data analysis
- data structure
- training data
- distributed data
- hidden variables
- image data
- bayesian networks
- data quality
- online learning
- machine learning
- raw data
- background knowledge
- neural network
- data mining techniques
- bayesian methods
- structured prediction
- missing data
- input data
- upper bound
- learning process
- high quality
- learning algorithm
- databases