A Lagrange Multiplier Method for Distributed Optimization Based on Multi-Agent Network With Private and Shared Information
In this paper, a Lagrange multiplier method is investigated for designing distributed optimization algorithm, which convergence is analyzed from the view of multi-agent networks with connected graphs. In the network, each agent is with both private and shared information. The shared information is s...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8744211/ |