Name
Abstract | ||
|---|---|---|
We present an optimization framework for solving multiagent convex programs subject to inequality constraints while keeping the agents' state trajectories private. Each agent has an objective function depending only upon its own state and the agents are collectively subject to global constraints. The agents do not directly communicate with each other but instead route messages through a trusted cl... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCNS.2017.2751458 | IEEE Transactions on Control of Network Systems |
Keywords | Field | DocType |
Networked control systems,Optimization,Trajectory,Convergence,Linear programming,Data privacy,Cloud computing,Decentralized control | Convergence (routing),Mathematical optimization,Nonlinear system,Differential privacy,Theoretical computer science,Optimization algorithm,Mathematics,Trajectory,Variational inequality,Cloud computing | Journal |
Volume | Issue | ISSN |
5 | 4 | 2325-5870 |
Citations | PageRank | References |
3 | 0.40 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hale, M.T. | 1 | 17 | 6.84 |
| Magnus Egerstedt | 2 | 2862 | 384.94 |