Distributed Optimization and Statistical Learning via the ...
to look to parallel optimization algorithms as a mechanism for solving large-scale statistical tasks. This approach also has the benefit that one algorithm could be flexible enough to solve many problems. This review discusses the alternating direction method of multipli-ers (ADMM), a simple but powerful algorithm that is well suited to
Solving, Distributed, Optimization, Distributed optimization
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