Two for the price of one: communication efficient and privacy-preserving distributed average consensus using quantization.
Qiongxiu LiMilan Lopuhaä-ZwakenbergRichard HeusdensMads Græsbøll ChristensenPublished in: EUSIPCO (2022)
Keyphrases
- privacy preserving
- multi party
- horizontally partitioned data
- horizontally partitioned
- privacy preserving data mining
- partitioned data
- vertically partitioned data
- distributed data mining
- privacy sensitive
- privacy preservation
- secure multiparty computation
- preserving privacy
- data privacy
- private information
- provide efficient solutions
- record linkage
- sensitive information
- communication cost
- peer to peer
- differential privacy
- privacy preserving classification
- privacy concerns
- privacy protection
- data publishing
- privacy guarantees
- scalar product
- naive bayesian classification
- privacy preserving association rule mining
- distributed systems