Nomadic Computing for Big Data Analytics

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Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon

Published: 2016, Last Modified: 27 Sept 2024Computer 2016EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Analyzing the massive datasets of today's applications will require scalable and sophisticated machine-learning methods. NOMAD, a novel nomadic framework, combines two common approaches: stochastic optimization and distributed computing.