Resilient Consensus

Resilient consensus focuses on designing distributed algorithms that enable multiple agents to agree on a common value despite the presence of malicious or faulty agents attempting to disrupt the process. Current research emphasizes developing algorithms, such as weighted mean subsequence reduced (W-MSR) and its variants, that are robust to asynchronous communication, multi-hop networks, and varying levels of adversarial behavior, often incorporating trust models and graph-theoretic analyses to guarantee consensus under specific network conditions. This research is crucial for building reliable and secure distributed systems in applications ranging from robotics and cyber-physical systems to blockchain technologies, where fault tolerance and resistance to malicious attacks are paramount.