Scaling Private Deep Learning with Low-rank and Sparse Gradients.

Ryuichi Ito Seng Pei Liew Tsubasa Takahashi Yuya Sasaki Makoto Onizuka

Published in: J. Inf. Process. (2023)

Keyphrases

deep learning
low rank and sparse
convex optimization
signal recovery
unsupervised learning
machine learning
low rank
weakly supervised
hierarchical bayesian model
mental models
data sets
multiscale
semi supervised
missing data
transfer learning