SLAQ: quality-driven scheduling for distributed machine learning.
Haoyu ZhangLogan StafmanAndrew OrMichael J. FreedmanPublished in: SoCC (2017)
Keyphrases
- machine learning
- meeting scheduling
- distributed systems
- multi agent
- computational grids
- machine learning approaches
- higher quality
- peer to peer
- dynamic scheduling
- inductive learning
- machine learning methods
- data driven
- data mining
- computer vision
- scheduling problem
- cooperative
- feature selection
- decision trees
- high quality
- lightweight
- machine learning algorithms
- mobile agents
- distributed computing
- information extraction
- learning tasks
- quality assessment
- computing environments
- distributed environment
- knowledge discovery
- data sets
- support vector machine
- text mining
- natural language processing
- sensor networks