Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features.
Xinyi ShangYang LuGang HuangHanzi WangPublished in: CoRR (2022)
Keyphrases
- data sources
- prior knowledge
- training examples
- training data
- learning algorithm
- data sets
- background knowledge
- learning models
- reinforcement learning
- input data
- data analysis
- learned models
- distributed data
- feature set
- online learning
- training samples
- positive training examples
- federated databases
- extracted features
- feature vectors
- feature space
- active learning
- learning stage
- training set
- svm classifier
- class labels
- feature subset
- supervised learning
- digital libraries
- heterogeneous data
- learning phase
- structured prediction
- supervised classifiers
- supervised training
- labeling effort