Distributed gradient descent method with edge‐based event‐driven communication for non‐convex optimization
Abstract This paper considers an event‐driven distributed non‐convex optimization algorithm for a multi‐agent system, where each agent has a non‐convex cost function. The goal of the multi‐agent system is to minimize the global objective function, which is the sum of these local cost functions, in a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-08-01
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| Series: | IET Control Theory & Applications |
| Online Access: | https://doi.org/10.1049/cth2.12127 |