Cloud-Enabled Differentially Private Multiagent Optimization With Constraints

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 constraint...

Full description

Bibliographic Details

Published in:	IEEE transactions on control of network systems Vol. 5; no. 4; pp. 1693 - 1706
Main Authors:	Hale, Matthew T., Egerstedt, Magnus
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.12.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Cloud computing Computer simulation Convergence Data privacy Decentralized control Eavesdropping Linear programming Multiagent systems Networked control systems Optimization Privacy Trajectories Trajectory
ISSN:	2325-5870, 2372-2533
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!