Exploiting Data Distribution in Distributed Learning of Deep Classification Models under the Parameter Server Architecture.
Nikodimos ProvatasPublished in: PhD@VLDB (2021)
Keyphrases
- data distribution
- classification models
- distributed learning
- grid technology
- distributed learning environments
- training data
- decision trees
- data streams
- feature selection
- index structure
- data points
- collaborative learning
- knowledge integration
- management system
- high dimensional data
- concept drift
- models built
- decision boundary
- data skew
- database
- attribute selection
- computer vision
- databases
- data sets
- parallel processing
- multi dimensional
- feature set
- feature ranking
- dimensionality reduction
- data warehouse
- data structure