Computation Scheduling for Distributed Machine Learning with Straggling Workers.
Mohammad Mohammadi AmiriDeniz GündüzPublished in: ICASSP (2019)
Keyphrases
- machine learning
- distributed systems
- meeting scheduling
- distributed environment
- scheduling problem
- dynamic scheduling
- multi agent
- round robin
- learning algorithm
- data mining
- peer to peer
- natural language processing
- cooperative
- artificial intelligence
- scheduling algorithm
- fault tolerant
- computer vision
- knowledge discovery
- computational grids
- decision trees
- parallel machines
- explanation based learning
- machine learning approaches
- pattern recognition
- machine learning methods
- resource allocation
- information technology
- information extraction
- computing environments
- multi agent systems
- computational intelligence
- text mining
- grid environment
- flexible manufacturing systems
- supervised learning
- active learning