Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization.
Bargav JayaramanLingxiao WangDavid EvansQuanquan GuPublished in: NeurIPS (2018)
Keyphrases
- distributed learning
- privacy preserving
- empirical risk minimization
- uniform convergence
- statistical learning theory
- privacy preserving data mining
- vc dimension
- empirical risk
- vertically partitioned data
- collaborative learning
- privacy preservation
- knowledge integration
- private information
- computationally tractable
- rates of convergence
- loss function
- secure multiparty computation
- phase transition
- data privacy
- generalization bounds
- machine learning
- generalization error
- sufficient conditions
- medical images
- knowledge discovery
- lower bound
- data sets