Prescribed‐Time Event‐Triggered Distributed Optimization With Privacy Protection Over Directed Networks
This paper focuses on privacy‐preserving distributed convex optimization across directed graphs within a prescribed‐time. To reduce the communication cost and achieve fast convergence, we propose a novel event‐triggered and prescribed‐time convergent distributed optimization algorithm built upon an...
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| Vydané v: | International journal of robust and nonlinear control |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
22.02.2025
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| ISSN: | 1049-8923, 1099-1239 |
| On-line prístup: | Získať plný text |
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