PMLS

Comprehensive Analysis of Spark, PMLS, and TensorFlow Distributed Machine Learning Platforms

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Comprehensive Analysis of Spark, PMLS, and TensorFlow Distributed Machine Learning Platforms

This article investigates the design methods used in distributed machine learning platforms and proposes future research directions. I collaborated with my students Kuo Zhang and Salem Alqahtani to complete this in the fall of 2016, and it will be presented at the ICCCN’17 conference in Vancouver. Machine learning (especially deep learning) has now achieved transformative … Read more

Comparative Analysis of Three Distributed Machine Learning Platforms

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Comparative Analysis of Three Distributed Machine Learning Platforms

Selected from muratbuffalo Author: Murat Demirbas Translated by Machine Heart Contributors: Panda Distributed machine learning is a major research direction in the field of machine learning. Recently, Professor Murat Demirbas from the State University of New York at Buffalo, along with two of his students, published a paper comparing existing distributed machine learning platforms, introducing … Read more