Scalable Privacy-Preserving Distributed Extremely Randomized Trees for Structured Data With Multiple Colluding Parties.
Amin AminifarFazle RabbiYngve LamoPublished in: ICASSP (2021)
Keyphrases
- privacy preserving
- structured data
- horizontally partitioned
- horizontally partitioned data
- partitioned data
- multi party
- randomized trees
- privacy sensitive
- privacy preserving data mining
- secure multiparty computation
- private information
- vertically partitioned data
- private data
- data sources
- information extraction
- preserving privacy
- xml documents
- homomorphic encryption
- linked data
- metadata
- privacy concerns
- differential privacy
- data privacy
- record linkage
- sensitive information
- database systems
- data sets
- distributed data
- multiple instance learning
- data model
- reinforcement learning
- information retrieval