Gradient-free distributed optimization with exact convergence
In this paper, a gradient-free distributed algorithm is introduced to solve a set constrained optimization problem under a directed communication network. Specifically, at each time-step, the agents locally compute a so-called pseudo-gradient to guide the updates of the decision variables, which can...
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Main Authors: | , |
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格式: | Article |
語言: | English |
出版: |
2022
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在線閱讀: | https://hdl.handle.net/10356/163543 |
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機構: | Nanyang Technological University |
語言: | English |