A One-Pass Distributed and Private Sketch for Kernel Sums with Applications to Machine Learning at Scale.
Benjamin ColemanAnshumali ShrivastavaPublished in: CCS (2021)
Keyphrases
- machine learning
- distributed systems
- distributed environment
- kernel methods
- active learning
- scale space
- computer vision
- feature selection
- machine learning methods
- pattern recognition
- kernel function
- cooperative
- support vector
- computer science
- decision trees
- machine learning algorithms
- text mining
- explanation based learning
- fault tolerant
- text classification
- learning tasks
- knowledge acquisition
- computing environments
- machine learning approaches
- natural language processing
- supervised learning
- distributed data
- multi agent
- feature extraction
- communication cost
- kernel pca
- sketch recognition
- data sets
- classification and regression problems
- privacy preserving
- lightweight
- peer to peer
- computational intelligence
- information extraction
- support vector machine
- artificial intelligence
- learning algorithm