Fast and privacy preserving distributed low-rank regression.
Hoi-To WaiAnna ScaglioneJean LafondEric MoulinesPublished in: ICASSP (2017)
Keyphrases
- privacy preserving
- low rank
- horizontally partitioned data
- horizontally partitioned
- multi party
- privacy sensitive
- partitioned data
- convex optimization
- matrix factorization
- missing data
- privacy preserving data mining
- linear combination
- privacy preservation
- low rank matrix
- secure multiparty computation
- vertically partitioned data
- matrix completion
- rank minimization
- singular value decomposition
- privacy preserving classification
- kernel matrix
- high dimensional data
- private information
- semi supervised
- privacy protection
- high order
- privacy concerns
- data privacy
- sensitive information
- trace norm
- data sets
- preserving privacy
- denoising
- support vector