Convergence analysis of distributed stochastic gradient descent with shuffling.

Qi Meng Wei Chen Yue Wang Zhi-Ming Ma Tie-Yan Liu

Published in: Neurocomputing (2019)

Keyphrases

convergence analysis
stochastic gradient descent
global convergence
step size
loss function
matrix factorization
least squares
convergence rate
optimality conditions
random forests
model selection
logistic regression
multiple kernel learning