Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data.
Zihao ZhouYanan LiXuebin RenShusen YangPublished in: CoRR (2022)
Keyphrases
- data sources
- data sets
- data analysis
- data processing
- database
- synthetic data
- prior knowledge
- learning models
- data collection
- raw data
- data points
- end users
- data structure
- learning tasks
- high quality
- learning process
- data quality
- reinforcement learning
- learning algorithm
- statistical analysis
- previously learned
- bayesian methods
- sensor data
- missing data
- distributed data
- training examples
- computer systems
- knowledge acquisition
- online learning
- data mining techniques
- image data
- knowledge discovery
- active learning
- relational databases
- search engine
- neural network