Faster PCA and Linear Regression through Hypercubes in HElib.

Deevashwer Rathee Pradeep Kumar Mishra Masaya Yasuda

Published in: IACR Cryptol. ePrint Arch. (2018)

Keyphrases

linear regression
principal component analysis
sparse regression
least squares
regression problems
regression methods
principal components analysis

ridge regression
linear models
locally weighted
nonlinear regression
independent component analysis
principal components
linear regression model

feature space
high dimensional
predictor variables
kernel regression
linear discriminant analysis
dimensionality reduction

feature extraction
face recognition
statistically significant
low dimensional
loss bounds
computer vision