Divide-and-Shuffle Synchronization for Distributed Machine Learning.
Weiyan WangCengguang ZhangLiu YangJiacheng XiaKai ChenKun TanPublished in: CoRR (2020)
Keyphrases
- machine learning
- distributed systems
- cooperative
- computer vision
- machine learning methods
- distributed environment
- data mining
- learning algorithm
- machine learning algorithms
- machine learning and data mining
- machine learning approaches
- active learning
- data analysis
- multi agent
- communication overhead
- feature selection
- loosely coupled
- information extraction
- explanation based learning
- distributed architecture
- computing environments
- fault tolerant
- supervised machine learning
- distributed network
- statistical methods
- knowledge acquisition
- peer to peer
- real time
- support vector machine
- natural language
- pattern recognition
- decision trees
- metadata
- genetic algorithm
- real world