: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning.
Zhongyi CaiYe ShiWei HuangJingya WangPublished in: NeurIPS (2023)
Keyphrases
- prior knowledge
- accurate models
- data sets
- learning models
- learning algorithm
- learned models
- online learning
- data sources
- real time
- historical data
- human experts
- statistical analysis
- background knowledge
- database
- training data
- hidden variables
- reinforcement learning
- statistical methods
- experimental data
- data structure
- data collection
- bayesian methods
- knowledge discovery
- data quality
- data analysis
- synthetic data
- learning systems
- data points
- distributed data
- supervised learning
- image data
- learning process
- high quality
- raw data
- multi agent
- distributed systems
- active learning
- data mining techniques