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