SGD with low-dimensional gradients with applications to private and distributed learning.
Shiva Prasad KasiviswanathanPublished in: UAI (2021)
Keyphrases
- distributed learning
- low dimensional
- high dimensional
- high dimensional data
- dimensionality reduction
- collaborative learning
- manifold learning
- principal component analysis
- data points
- input space
- stochastic gradient descent
- feature space
- knowledge integration
- privacy preserving
- euclidean space
- distributed learning environments
- grid technology
- graph embedding
- metadata