Differentially Private Coordinate Descent for Composite Empirical Risk Minimization.
Paul MangoldAurélien BelletJoseph SalmonMarc TommasiPublished in: CoRR (2021)
Keyphrases
- differentially private
- empirical risk minimization
- differential privacy
- statistical learning theory
- uniform convergence
- empirical risk
- vc dimension
- rates of convergence
- generalization bounds
- computationally tractable
- statistical learning
- risk minimization
- loss function
- machine learning
- maximum entropy
- upper bound
- high dimensional
- training data