Abstract
Integer partial order programming (iPOP) with ma-jorization ordered objectives has received attention in multi-agent cooperation, electric vehicle charging, and portfolio optimization. This paper presents an innovative expansion of majorization-related iPOP applications into privacy and security. Two basic iPOP problems in our prior work are revisited for the private transmission and secure storage of a confidential file. When a new confidential file arrives with additional resources, advanced iPOP problems are formulated, which are shown to be addressed by solving two sequential basic iPOP problems. Through this initiative, we aspire to stimulate the comprehensive utilization of majorization-related POP across a broader spectrum of resource allocation scenarios.
| Original language | English |
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| Title of host publication | 14th Asian Control Conference, ASCC 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1174-1179 |
| Number of pages | 6 |
| ISBN (Electronic) | 9789887581598 |
| Publication status | Published - 19 Sept 2024 |
| Event | 14th Asian Control Conference, ASCC 2024 - Dalian, China Duration: 5 Jul 2024 → 8 Jul 2024 https://ascc2024.dlut.edu.cn/ |
Publication series
| Name | 14th Asian Control Conference, ASCC 2024 |
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Conference
| Conference | 14th Asian Control Conference, ASCC 2024 |
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| Abbreviated title | ASCC2024 |
| Country/Territory | China |
| City | Dalian |
| Period | 5/07/24 → 8/07/24 |
| Internet address |
Bibliographical note
Publisher Copyright:© 2024 Asian Control Association.
Keywords
- inte-ger matrix completion
- majorization
- partial order programming
- resource allocation