PPEM: Privacy-preserving EM learning for mixture models.
Sharon X. LeeKaleb L. LeemaqzGeoffrey J. McLachlanPublished in: Concurr. Comput. Pract. Exp. (2019)
Keyphrases
- mixture model
- privacy preserving
- unsupervised learning
- gaussian mixture model
- expectation maximization
- em algorithm
- maximum likelihood
- privacy preserving data mining
- density estimation
- learning algorithm
- probabilistic model
- automatic model selection
- generative model
- privacy concerns
- private data
- language model
- active learning
- vertically partitioned data
- mixture modeling
- data sets
- secure multiparty computation
- multi party
- private information
- gaussian mixture
- knowledge discovery
- pattern recognition
- information retrieval
- data mining