On Byzantine-Resilient High-Dimensional Stochastic Gradient Descent.
Deepesh DataSuhas N. DiggaviPublished in: ISIT (2020)
Keyphrases
- stochastic gradient descent
- high dimensional
- least squares
- loss function
- step size
- matrix factorization
- random forests
- low dimensional
- support vector machine
- dimensionality reduction
- regularization parameter
- multiple kernel learning
- high dimensional data
- online algorithms
- importance sampling
- weight vector
- feature space
- parameter space
- data points
- kernel function
- training samples
- monte carlo
- input space
- lower bound