distributed optimization


Visible to the public Towards Secure Large-Scale Networked Systems- Resilient Distributed Algorithms for Coordination in Networks under Cyber Attacks

Large-scale networked systems (such as the power grid, the internet, multi-robot systems, and smart cities) consist of a large number of interconnected components. To allow the entire system to function efficiently, these components must communicate with each other and use the exchanged information in order to estimate the state of the entire system and take optimal actions.


Visible to the public CPS: Breakthrough: Distributed Computing under Uncertainty: A New Paradigm for Cooperative Cyber-Physical Systems


This project is to develop dynamical models of distributed computation systems that are resilient to noise, unreliable communication and other source uncertainty. The key idea is centered on the development of optimization systems. These are dynamical systems that (solve) stabilize around the optimal solution of a (static) convex optimization problem. If the optimization problem is separable, then the designed dynamic system decomposes into a set of locally interacting dynamic systems.