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
Distributed Nesterov Gradient Methods Over Arbitrary Graphs
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DOI: 10.1109/lsp.2019.2925537
Abstract: In this letter, we introduce a distributed Nesterov gradient method, $\mathcal {ABN}$, that does not require doubly stochastic weights. Instead, the implementation is based on a simultaneous application of both row- and column-stochastic weights that makes $\mathcal… read more here.
Keywords: nesterov gradient; tex math; distributed nesterov; stochastic weights ... See more keywords