Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce.
Xupeng MiaoXiaonan NieYingxia ShaoZhi YangJiawei JiangLingxiao MaBin CuiPublished in: SIGMOD Conference (2021)
Keyphrases
- machine learning
- supervised learning
- distributed environment
- training set
- machine learning methods
- pattern recognition
- learning algorithm
- decision trees
- test set
- machine learning algorithms
- peer to peer
- distributed systems
- knowledge acquisition
- training process
- computational intelligence
- information extraction
- cooperative
- multi agent
- support vector machine
- inductive learning
- feature selection
- databases
- training examples
- artificial intelligence
- training algorithm
- training phase
- computing environments
- learning problems
- explanation based learning
- distributed data
- heterogeneous data
- deep learning
- semantically heterogeneous
- inductive logic programming
- fault tolerant
- object detection
- learning tasks
- mobile agents
- learning systems
- data analysis
- text classification
- active learning
- text mining