Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach.
Haibo YangXin ZhangMinghong FangJia LiuPublished in: CoRR (2019)
Keyphrases
- distributed learning
- stochastic gradient descent
- least squares
- loss function
- matrix factorization
- step size
- pairwise
- collaborative learning
- random forests
- multiple kernel learning
- importance sampling
- knowledge integration
- support vector machine
- regularization parameter
- weight vector
- online algorithms
- convergence rate
- feature selection
- training data
- image processing