Locally Asynchronous Stochastic Gradient Descent for Decentralised Deep Learning.
Tomer AvidorNadav Tal-IsraelPublished in: CoRR (2022)
Keyphrases
- deep learning
- stochastic gradient descent
- loss function
- least squares
- step size
- matrix factorization
- unsupervised learning
- machine learning
- random forests
- weight vector
- mental models
- support vector machine
- regularization parameter
- weakly supervised
- multiple kernel learning
- online algorithms
- multi class
- convergence rate
- data sets
- decision trees
- feature selection