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Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent.
Xiangru Lian
Ce Zhang
Huan Zhang
Cho-Jui Hsieh
Wei Zhang
Ji Liu
Published in:
CoRR (2017)
Keyphrases
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stochastic gradient descent
learning algorithm
loss function
training data
early stopping
computational complexity
random forests