FedFed: Feature Distillation against Data Heterogeneity in Federated Learning.
Zhiqin YangYonggang ZhangYu ZhengXinmei TianHao PengTongliang LiuBo HanPublished in: CoRR (2023)
Keyphrases
- data sets
- prior knowledge
- image data
- data analysis
- background knowledge
- learning process
- data sources
- training data
- missing data
- data structure
- data processing
- raw data
- human experts
- knowledge discovery
- high quality
- bayesian methods
- supervised learning
- input data
- data quality
- distributed data
- data collection
- computer systems
- statistical analysis
- synthetic data
- learning algorithm
- neural network
- noisy data
- original data
- learned models
- high dimensional data
- knowledge acquisition
- online learning
- data points
- feature space
- digital libraries