Empirical Measurement of Client Contribution for Federated Learning With Data Size Diversification.
Sung Kuk ShynDonghee KimKwangsu KimPublished in: IEEE Access (2022)
Keyphrases
- data sets
- background knowledge
- data sources
- raw data
- prior knowledge
- image data
- statistical analysis
- distributed data
- original data
- data collection
- data processing
- human experts
- experimental data
- sensor data
- learning systems
- synthetic data
- distributed systems
- knowledge discovery
- data points
- noisy data
- data quality
- learning process
- data analysis
- reinforcement learning
- empirical data
- correlation analysis
- knowledge acquisition
- learning problems
- input data
- active learning
- xml documents
- high quality
- learning algorithm
- genetic algorithm