A gradient-free distributed optimization method for convex sum of nonconvex cost functions
This article presents a special type of distributed optimization problems, where the summation of agents' local cost functions (i.e., global cost function) is convex, but each individual can be nonconvex. Unlike most distributed optimization algorithms by taking the advantages of gradient, the...
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| Main Authors: | , |
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| 其他作者: | |
| 格式: | Article |
| 語言: | English |
| 出版: |
2023
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/170517 |
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| 機構: | Nanyang Technological University |
| 語言: | English |