Privacy-preserving collaborative machine learning on genomic data using TensorFlow.
Cheng HongZhicong HuangWen-jie LuHunter QuLi MaMorten DahlJason MancusoPublished in: CoRR (2020)
Keyphrases
- privacy preserving
- genomic data
- machine learning
- high throughput
- privacy preserving data mining
- biological data
- privacy preservation
- protein protein interactions
- gene expression data
- multi party
- sensitive information
- machine learning methods
- private information
- pattern recognition
- vertically partitioned data
- data privacy
- experimental conditions
- privacy concerns
- decision trees
- gene expression
- gene ontology
- privacy sensitive
- privacy protection
- secure multiparty computation
- computational biology
- knowledge discovery
- social networks
- data mining
- microarray
- data integration
- genome wide
- high dimensional data
- natural language processing
- information extraction
- data analysis
- gene expression profiles
- feature selection
- database