Distributed Optimization and Statistical Learning via the ...
The method was developed in the 1970s, with roots in the 1950s, and is equivalent or closely related to many other algorithms, such ... share some key characteristics. First, the datasets are often extremely large, consisting of hundreds of millions or billions of training examples;
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