Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing.
Shuai WangTsung-Hui ChangPublished in: CoRR (2020)
Keyphrases
- matrix factorization
- model averaging
- factorization methods
- collaborative filtering
- recommender systems
- clustering algorithm
- tensor factorization
- low rank
- missing data
- latent factors
- factor analysis
- negative matrix factorization
- probabilistic matrix factorization
- machine learning
- probabilistic latent semantic analysis
- nonnegative matrix factorization
- bayesian methods
- supervised classification
- posterior probability
- clustering method
- natural images
- bayesian networks
- learning algorithm