Convergence of asynchronous distributed gradient methods over stochastic networks
We consider distributed optimization problems in which a number of agents are to seek the global optimum of a sum of cost functions through only local information sharing. In this paper, we are particularly interested in scenarios, where agents are operating asynchronously over stochastic networks s...
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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2020
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在線閱讀: | https://hdl.handle.net/10356/145309 |
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機構: | Nanyang Technological University |
語言: | English |