On the Fundamental Limits of Coded Data Shuffling for Distributed Machine Learning.
Adel M. ElmahdySoheil MohajerPublished in: IEEE Trans. Inf. Theory (2020)
Keyphrases
- machine learning
- statistical analysis
- data sets
- data collection
- data analysis
- data transfer
- distributed data
- data processing
- cooperative
- image data
- data sources
- training data
- database
- statistical methods
- prior knowledge
- reinforcement learning
- data distribution
- experimental data
- sensor data
- synthetic data
- distributed environment
- wide area network
- model selection
- knowledge acquisition
- input data
- natural language processing
- small number
- information extraction
- knowledge discovery
- multi agent
- high quality
- clustering algorithm
- image processing