Automated Resilience for Distributed Coordination in Large-scale Networks
Primary Investigator:
Shaoshuai Mou
Xuan Wang, Shaoshuai Mou
Abstract
Distributed control of large-scale multi-agent networks achieve global objectives only through local coordination. On one hand, the lack of central controller leads to robustness against individual agent or link failures. On the other hand, the dependence on local coordination raises a major concern that the whole network may crash down under sophisticated attacks to one or more vulnerable agents. Motivated by this, our research aims to provide a systematic way to achieve automated resilience for consensus-based distributed algorithms, which purely based on agents’ locally available information.