Byzantine-Robust Stochastic Gradient Descent for Distributed Low-Rank Matrix Completion.
Xuechao HeQing LingTianyi ChenPublished in: DSW (2019)
Keyphrases
- matrix completion
- stochastic gradient descent
- low rank
- matrix factorization
- rank minimization
- norm minimization
- low rank matrix
- loss function
- least squares
- missing data
- step size
- random forests
- linear combination
- kernel matrix
- singular value decomposition
- convex optimization
- semi supervised
- trace norm
- collaborative filtering
- recommender systems
- regularization parameter
- support vector machine
- high order
- singular values
- nonnegative matrix factorization
- decision trees
- multiple kernel learning
- weight vector
- low rank approximation
- feature extraction
- high dimensional data
- image classification