Joint Coreset Construction and Quantization for Distributed Machine Learning.
Hanlin LuChangchang LiuShiqiang WangTing HeVijaykrishnan NarayananKevin S. ChanStephen PasterisPublished in: Networking (2020)
Keyphrases
- machine learning
- distributed systems
- distributed environment
- multi agent
- machine learning methods
- pattern recognition
- neural network
- cooperative
- learning algorithm
- knowledge representation
- information extraction
- decision trees
- learning problems
- peer to peer
- computer vision
- machine learning approaches
- supervised learning
- explanation based learning
- computer science
- computing environments
- data sets
- fault tolerant
- communication overhead
- quantization error
- statistical methods
- construction process
- mobile agents
- learning systems
- machine learning algorithms
- semi supervised learning
- knowledge acquisition
- computational intelligence
- natural language processing
- data analysis
- database systems
- web services
- feature selection