Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data.
Yiu-ming CheungJuyong JiangFeng YuJian LouPublished in: CoRR (2022)
Keyphrases
- distributed data
- principal component analysis
- data sharing
- feature space
- data distribution
- distributed data mining
- face recognition
- feature vectors
- communication cost
- kernel pca
- data mining algorithms
- principal components
- dimensionality reduction
- integrating heterogeneous
- kernel principal component analysis
- kernel function
- covariance matrix
- distributed data sources
- feature set
- databases
- data sets
- database
- input image
- knn
- data analysis
- support vector
- feature extraction