Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification.
Yingxue ZhouZhiwei Steven WuArindam BanerjeePublished in: CoRR (2020)
Keyphrases
- feature space
- ambient intelligence
- feature extraction
- principal component analysis
- high dimensional data
- privacy preserving
- principal components
- subspace clustering
- stochastic gradient descent
- decision trees
- private data
- linear subspace
- subspace learning
- lower dimensional
- intelligent environments
- least squares
- image sequences