Scalable and Privacy-Preserving Federated Principal Component Analysis.
David FroelicherHyunghoon ChoManaswitha EdupalliJoao Sa SousaJean-Philippe BossuatApostolos PyrgelisJuan Ramón Troncoso-PastorizaBonnie BergerJean-Pierre HubauxPublished in: SP (2023)
Keyphrases
- privacy preserving
- principal component analysis
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- data privacy
- dimensionality reduction
- preserving privacy
- multi party
- dimension reduction
- record linkage
- linear discriminant analysis
- low dimensional
- private data
- scalar product
- privacy concerns
- privacy issues
- privacy sensitive
- privacy preserving classification
- horizontally partitioned data
- naive bayesian classification
- data sets
- privacy protection
- feature space
- digital libraries
- feature extraction
- data publishing
- secure multiparty computation
- user privacy
- sensitive data
- distributed data
- sensitive information
- horizontally partitioned