Asynchronous distributed ADMM for consensus optimization
Distributed optimization algorithms are highly attractive for solving big data problems. In particular, many machine learning problems can be formulated as the global consensus optimization problem, which can then be solved in a distributed manner by the
Zhang, Ruiliang, Kwok, James T.
core
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