A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine.
Ali Burak ÜnalMete AkgünNico PfeiferPublished in: CANS (2019)
Keyphrases
- privacy preserving
- machine learning
- privacy preserving association rule mining
- multi party
- privacy preserving data mining algorithms
- privacy preserving data mining
- privacy preservation
- record linkage
- privacy guarantees
- data mining
- private information
- privacy protection
- privacy concerns
- data privacy
- support vector machine
- kernel methods
- data analysis
- private data
- support vector