Rethinking the Data Heterogeneity in Federated Learning.
Jiayi WangShiqiang WangRong-Rong ChenMingyue JiPublished in: ACSSC (2023)
Keyphrases
- prior knowledge
- database
- data sources
- high quality
- learning systems
- data collection
- data processing
- original data
- learning algorithm
- data analysis
- data sets
- sensor data
- image data
- knowledge discovery
- supervised learning
- learning models
- unsupervised learning
- statistical analysis
- synthetic data
- data structure
- missing data
- background knowledge
- data distribution
- learned models
- learning analytics
- data quality
- data objects
- machine learning
- raw data
- learning tasks
- reinforcement learning
- training examples
- end users
- probability distribution
- input data
- small number