Name
Abstract | ||
|---|---|---|
We consider a decentralized solution to max-min resource allocation for a multi-agent system. Limited resources are allocated to the agents in a network, each of which has a utility function monotonically increasing in its allocated resource. We aim at finding the allocation that maximizes the minimum utility among all agents. Although the problem can be easily solved with a centralized algorithm,... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/INFOCOMWKSHPS51825.2021.9484502 | IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) |
Keywords | DocType | ISSN |
Conferences,Numerical simulation,Resource management,Optimization,Convergence,Multi-agent systems | Conference | 2159-4228 |
ISBN | Citations | PageRank |
978-1-6654-0443-3 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuang Wu | 1 | 0 | 0.34 |
| Xi Peng | 2 | 0 | 0.34 |
| Guangjian Tian | 3 | 14 | 4.56 |