Scalable and Privacy-Preserving Federated Principal Component Analysis.
David FroelicherHyunghoon ChoManaswitha EdupalliJoao Sa SousaJean-Philippe BossuatApostolos PyrgelisJuan Ramón Troncoso-PastorizaBonnie BergerJean-Pierre HubauxPublished in: CoRR (2023)
Keyphrases
- privacy preserving
- principal component analysis
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- multi party
- dimensionality reduction
- data privacy
- low dimensional
- data perturbation
- private information
- privacy protection
- privacy requirements
- private data
- privacy issues
- privacy guarantees
- horizontally partitioned data
- face recognition
- sensitive information
- dimension reduction
- linear discriminant analysis
- feature space
- privacy concerns
- random projections
- privacy sensitive
- secure multiparty computation
- user privacy
- scalar product
- search engine
- sensitive data
- horizontally partitioned
- privacy preserving classification
- homomorphic encryption
- feature extraction
- digital libraries
- web search
- differential privacy
- personal data
- record linkage