Byzantine Stochastic Gradient Descent.
Dan AlistarhZeyuan Allen-ZhuJerry LiPublished in: NeurIPS (2018)
Keyphrases
- stochastic gradient descent
- least squares
- loss function
- matrix factorization
- step size
- random forests
- weight vector
- support vector machine
- regularization parameter
- multiple kernel learning
- importance sampling
- online algorithms
- optical flow
- collaborative filtering
- evolutionary algorithm
- wavelet transform
- support vector
- image processing
- decision trees