The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning.
Stefanie ScherzingerChristin SeifertLena WiesePublished in: ICDCS (2019)
Keyphrases
- machine learning
- lessons learned
- distributed systems
- decision trees
- computational intelligence
- open issues
- key issues
- distributed environment
- machine learning methods
- fine grained
- learning algorithm
- computer vision
- pattern recognition
- metadata
- information extraction
- knowledge acquisition
- cooperative
- information retrieval
- machine learning algorithms
- peer to peer
- data mining
- data analysis
- case study
- lightweight
- natural language processing
- knowledge representation
- mobile agents
- feature selection
- artificial intelligence
- inductive learning
- data streams
- explanation based learning
- distributed data
- technical challenges
- multi agent
- distributed network