Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation.
Xin WangHideaki IshiiLinkang DuPeng ChengJiming ChenPublished in: CoRR (2019)
Keyphrases
- privacy preserving
- machine learning
- data perturbation
- horizontally partitioned data
- horizontally partitioned
- partitioned data
- multi party
- privacy preserving data mining
- distributed data mining
- privacy sensitive
- privacy guarantees
- privacy preservation
- privacy preserving classification
- vertically partitioned data
- privacy preserving association rule mining
- distributed systems
- privacy protection
- preserving privacy
- secure multiparty computation
- private information
- differential privacy
- privacy issues
- record linkage
- privacy concerns
- distributed environment
- privacy requirements
- decision trees
- sensitive information
- private data
- knowledge discovery
- data privacy
- distributed computing
- data analysis
- databases