A decentralized Nesterov gradient method for stochastic optimization over unbalanced directed networks
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DOI: 10.1002/asjc.2483
Abstract: Decentralized stochastic gradient methods play significant roles in large‐scale optimization that finds many practical applications in machine learning and coordinated control. This paper studies optimization problems over unbalanced directed networks, where the mutual goal of… read more here.
Keywords: gradient; unbalanced directed; nesterov gradient; optimization ... See more keywords