DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation.
Boxin WangFan WuYunhui LongLuka RimanicCe ZhangBo LiPublished in: CoRR (2021)
Keyphrases
- privacy preserving
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- sensitive information
- private information
- secure multiparty computation
- multi party
- privacy concerns
- data privacy
- privacy protection
- image compression
- data perturbation
- record linkage
- partitioned data
- private data
- horizontally partitioned data
- personal data
- compression algorithm
- user privacy
- privacy requirements
- homomorphic encryption
- compression ratio
- data publishing
- knowledge discovery
- data sources
- data structure
- data mining
- horizontally partitioned
- privacy sensitive
- privacy preserving association rule mining
- databases