Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data.
Bin GuZhiyuan DangXiang LiHeng HuangPublished in: CoRR (2020)
Keyphrases
- kernel learning
- doubly stochastic
- vertically partitioned data
- privacy preserving
- weight matrix
- poisson process
- kernel function
- multiple kernel learning
- wavelet coefficients
- kernel matrix
- support vector regression
- semi supervised
- kernel methods
- dimensionality reduction
- pairwise constraints
- distance metric
- learning tasks
- data sources
- low rank
- supervised learning