No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data.
Mi LuoFei ChenDapeng HuYifan ZhangJian LiangJiashi FengPublished in: CoRR (2021)
Keyphrases
- training data
- data sources
- learning algorithm
- input data
- data sets
- database
- learning tasks
- data processing
- prior knowledge
- distributed data
- background knowledge
- active learning
- training samples
- feature selection
- test data
- reinforcement learning
- data analysis
- training set
- supervised learning
- data points
- online learning
- data collection
- unsupervised learning
- training examples
- class labels
- semi supervised
- image data
- decision trees
- raw data
- original data
- learning models