Boosting the Training Time of Weakly Coordinated Distributed Machine Learning.
Erika DuriakovaElias Z. TragosAonghus LawlorBarry SmythNeil HurleyPublished in: IEEE BigData (2021)
Keyphrases
- machine learning
- multi agent
- learning algorithm
- supervised learning
- distributed systems
- cooperative
- early stopping
- data mining
- training process
- information extraction
- feature selection
- data analysis
- distributed environment
- active learning
- learning tasks
- pattern recognition
- learning machines
- machine learning algorithms
- peer to peer
- semi supervised learning
- knowledge acquisition
- natural language processing
- computer science
- neural network
- computing environments
- covariate shift
- training data
- batch mode
- weak learners
- reinforcement learning
- machine learning approaches
- ensemble methods
- inductive learning
- training set
- knowledge discovery
- machine learning methods
- mobile agents
- learning systems
- test set
- training samples
- computational intelligence