Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework.
Qiongxiu LiRichard HeusdensMads Græsbøll ChristensenPublished in: CoRR (2020)
Keyphrases
- privacy preserving
- horizontally partitioned data
- data perturbation
- multi party
- horizontally partitioned
- partitioned data
- privacy preserving data mining
- distributed data mining
- privacy guarantees
- privacy sensitive
- vertically partitioned data
- privacy preservation
- privacy preserving classification
- private information
- secure multiparty computation
- data privacy
- sensitive information
- distributed systems
- preserving privacy
- differential privacy
- privacy protection
- privacy issues
- record linkage
- privacy concerns
- distributed environment
- principal component analysis
- naive bayesian classification
- distributed data
- dimensionality reduction
- scalar product
- feature space
- privacy preserving data mining algorithms
- data sets
- private data
- low dimensional
- peer to peer
- face recognition