Open AccessFast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee
Author(s) -
Shen-Yi Zhao,
Wu-Jun Li
Publication year - 2016
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v30i1.10305
Subject(s) - asynchronous communication , computer science , stochastic gradient descent , convergence (economics) , rate of convergence , computation , parallel computing , multi core processor , lock (firearm) , variance (accounting) , mathematical optimization , distributed computing , algorithm , artificial intelligence , key (lock) , mathematics , artificial neural network , mechanical engineering , computer network , business , computer security , accounting , engineering , economics , economic growth
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