No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data.
Mi LuoFei ChenDapeng HuYifan ZhangJian LiangJiashi FengPublished in: NeurIPS (2021)
Keyphrases
- data sets
- data sources
- learning algorithm
- training data
- learning process
- background knowledge
- data processing
- image data
- prior knowledge
- knowledge discovery
- original data
- supervised learning
- data points
- active learning
- data analysis
- data structure
- learning phase
- raw data
- human experts
- data mining techniques
- support vector
- digital libraries
- database
- input data
- online learning
- training examples
- feature selection
- spatial data
- learning tasks
- data mining
- learning models
- probability distribution