Distributed Machine Learning: Basic and Algorithms

Speaker:  Ming Xiao – Stockholm, Sweden
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


In this talk, we will talk one distributed machine learning (DML) schemes. We start from the introduction of optimization, convex optimization, motivation of distributed machine learning. Then we discuss the motivation of DML. Then we discuss the structure of DML and one key algorithm of DML, namely, Alternating Direction Method of Multipliers (ADMM). A few parallel methods will also be given.  

About this Lecture

Number of Slides:  50
Duration:  90 minutes
Languages Available:  Chinese (Simplified), English
Last Updated: 

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