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.
['Hsiang-Fu Yu', 'Cho-Jui Hsieh', 'Hyokun Yun', 'S. V. N. Vishwanathan', 'Inderjit S. Dhillon']
Nomadic Computing for Big Data Analytics