Splitting chemical structure data sets for federated privacy-preserving machine learning.
Jaak SimmLina HumbeckAdam ZalewskiNoé SturmWouter HeyndrickxYves MoreauBernd BeckAnsgar SchuffenhauerPublished in: J. Cheminformatics (2021)
Keyphrases
- privacy preserving
- machine learning
- data sets
- privacy preserving data mining
- privacy preservation
- private information
- multi party
- sensitive information
- privacy concerns
- privacy sensitive
- vertically partitioned data
- data privacy
- digital libraries
- record linkage
- partitioned data
- private data
- scalar product
- privacy protection
- horizontally partitioned
- differential privacy
- privacy issues
- data publishing
- data perturbation
- databases
- naive bayesian classification
- privacy guarantees
- high dimensional
- data sources
- access control
- sensitive data