Privacy-preserving collaborative machine learning on genomic data using TensorFlow.
Cheng HongZhicong HuangWen-jie LuHunter QuLi MaMorten DahlJason MancusoPublished in: IACR Cryptol. ePrint Arch. (2020)
Keyphrases
- privacy preserving
- genomic data
- machine learning
- high throughput
- privacy preserving data mining
- biological data
- vertically partitioned data
- protein protein interactions
- privacy preservation
- experimental conditions
- multi party
- data privacy
- gene expression data
- data analysis
- data mining
- gene expression
- natural language processing
- scalar product
- machine learning methods
- privacy concerns
- gene ontology
- pattern recognition
- private information
- statistical methods
- differential privacy
- sensitive information
- knowledge discovery
- privacy protection
- information extraction
- decision trees
- secure multiparty computation
- privacy sensitive
- computational biology
- high precision
- microarray
- gene expression profiles
- database systems