Privacy-preserving collaborative machine learning on genomic data using TensorFlow.
Cheng HongZhicong HuangWen-jie LuHunter QuLi MaMorten DahlJason MancusoPublished in: ACM TUR-C (2020)
Keyphrases
- privacy preserving
- genomic data
- machine learning
- high throughput
- vertically partitioned data
- biological data
- privacy preserving data mining
- protein protein interactions
- privacy preservation
- gene ontology
- private information
- privacy protection
- gene expression
- gene expression data
- data integration
- machine learning methods
- data privacy
- privacy concerns
- multi party
- experimental conditions
- gene expression profiles
- data mining
- pattern recognition
- sensitive information
- text mining
- natural language processing
- information extraction
- knowledge discovery
- decision trees
- microarray
- secure multiparty computation
- privacy sensitive
- low cost
- support vector machine
- data analysis
- database
- scalar product