Unsupervised Federated Learning: A Federated Gradient EM Algorithm for Heterogeneous Mixture Models with Robustness against Adversarial Attacks.
Ye TianHaolei WengYang FengPublished in: CoRR (2023)
Keyphrases
- mixture model
- em algorithm
- expectation maximization
- unsupervised learning
- gaussian mixture model
- maximum likelihood
- hidden variables
- generative model
- finite mixture model
- finite mixture models
- finite mixtures
- mixture modeling
- supervised learning
- density estimation
- probabilistic model
- learning algorithm
- parameter estimation
- gaussian mixture
- log likelihood function
- model based clustering
- active learning
- language model
- maximum a posteriori
- reinforcement learning
- model selection
- minimum message length
- image processing
- likelihood function
- maximum likelihood estimation
- probability density function
- log likelihood
- mixture components
- weakly supervised
- object recognition
- semi supervised
- machine learning