Differentially Private Federated Variational Inference.
Mrinank SharmaMichael HutchinsonSiddharth SwaroopAntti HonkelaRichard E. TurnerPublished in: CoRR (2019)
Keyphrases
- differentially private
- variational inference
- bayesian inference
- probabilistic model
- gaussian process
- topic models
- posterior distribution
- variational methods
- mixture model
- probabilistic graphical models
- latent dirichlet allocation
- differential privacy
- closed form
- exponential family
- factor graphs
- approximate inference
- exact inference
- data sources
- latent variables
- hyperparameters
- first order logic
- machine learning
- graphical models
- data mining
- random variables
- search engine
- optic flow
- distributed data
- least squares
- privacy preserving
- probabilistic inference
- databases
- bayesian framework
- conditional random fields