Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework.
Qiongxiu LiRichard HeusdensMads Græsbøll ChristensenPublished in: IEEE Trans. Signal Process. (2020)
Keyphrases
- privacy preserving
- horizontally partitioned data
- data perturbation
- horizontally partitioned
- multi party
- privacy preserving data mining
- distributed data mining
- partitioned data
- privacy sensitive
- vertically partitioned data
- privacy guarantees
- privacy preserving classification
- privacy preservation
- secure multiparty computation
- private information
- privacy protection
- preserving privacy
- data privacy
- record linkage
- sensitive information
- data publishing
- privacy requirements
- sensitive data
- distributed systems
- private data
- privacy concerns
- distributed environment
- low dimensional
- high dimensional
- privacy preserving data mining algorithms
- feature space
- naive bayesian classification
- differential privacy
- peer to peer