Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus.
Qiongxiu LiJaron Skovsted GundersenMilan Lopuhaä-ZwakenbergRichard HeusdensPublished in: CoRR (2023)
Keyphrases
- privacy preserving
- horizontally partitioned data
- data perturbation
- horizontally partitioned
- multi party
- partitioned data
- privacy preserving data mining
- privacy sensitive
- distributed data mining
- privacy guarantees
- vertically partitioned data
- privacy preservation
- secure multiparty computation
- data privacy
- privacy preserving classification
- private information
- distributed systems
- preserving privacy
- sensitive information
- personal data
- privacy protection
- scalar product
- sensitive data
- privacy preserving association rule mining
- naive bayesian classification
- differential privacy
- privacy requirements
- record linkage
- low dimensional
- privacy concerns
- data publishing
- privacy issues
- feature space
- high dimensional data
- peer to peer
- medical images