Alg for Dist Mach Learning

2 Credits · Level: Graduate

Distributed machine learning, as the name suggests, refers to learning over data that is distributed amongst multiple machines. Each machine holds only a piece of the entire data, and the objective is to learn a parameter that minimizes a loss function defined over the entire data. The problem of distributed machine learning can be formulated as a special class of a more general distributed optimization problems. This seminar course will discuss state-of-the-algorithms for solving distributed optimization problems, in the context of distributed machine learning.