Introducing the Huber mechanism for differentially private low-rank matrix completion.
R. Adithya GowthamGokularam MuthukrishnanThulasi TholetiSheetal KalyaniPublished in: CoRR (2022)
Keyphrases
- matrix completion
- low rank
- linear combination
- missing data
- rank minimization
- matrix factorization
- convex optimization
- singular value decomposition
- differential privacy
- low rank matrix
- kernel matrix
- semi supervised
- trace norm
- high order
- low rank matrices
- high dimensional data
- norm minimization
- collaborative filtering
- loss function
- singular values
- rank aggregation
- incomplete data
- missing values
- convex relaxation
- higher order
- high dimensional
- nuclear norm
- training data