Computation Scheduling for Distributed Machine Learning With Straggling Workers.
Mohammad Mohammadi AmiriDeniz GündüzPublished in: IEEE Trans. Signal Process. (2019)
Keyphrases
- machine learning
- meeting scheduling
- distributed systems
- dynamic scheduling
- distributed environment
- scheduling algorithm
- pattern recognition
- cooperative
- multi agent
- peer to peer
- distributed data
- information technology
- machine learning algorithms
- partitioned data
- model selection
- knowledge acquisition
- statistical methods
- machine learning methods
- computational intelligence
- supervised learning
- decision trees
- genetic algorithm
- distributed database systems
- explanation based learning
- parallel computation
- fault tolerant
- real time database systems
- text classification
- resource allocation
- mobile agents
- lightweight
- neural network
- information extraction
- knowledge discovery
- active learning
- reinforcement learning
- database systems
- computer vision
- learning algorithm
- data mining