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cs.DC2015
Balancing the Communication Load of Asynchronously Parallelized Machine Learning Algorithms
Janis Keuper, Franz-Josef Pfreundt
Stochastic Gradient Descent (SGD) is the standard numerical method used to solve the core optimization problem for the vast majority of machine learning (ML) algorithms. In the con…
cs.DC2015★ 8 cited
Asynchronous Parallel Stochastic Gradient Descent - A Numeric Core for Scalable Distributed Machine Learning Algorithms
Janis Keuper, Franz-Josef Pfreundt
The implementation of a vast majority of machine learning (ML) algorithms boils down to solving a numerical optimization problem. In this context, Stochastic Gradient Descent (SGD)…