How can multi-hop relays improve resilient consensus in leader-follower systems?
Reaching Resilient Leader-Follower Consensus in Time-Varying Networks via Multi-Hop Relays
This paper explores how to make leader-follower multi-agent systems (MAS) resilient to malicious agents in networks with changing connections, especially using "multi-hop" communication where messages can be relayed through intermediate agents. The researchers developed algorithms for both single- and double-integrator agent dynamics (relevant to how agents move) and proved mathematically that their approach works if and only if the network meets certain robustness criteria.
For LLM-based multi-agent systems, this research is relevant because it provides a framework and algorithms to improve the reliability of communication and coordination between agents, even when some agents are behaving badly or sending false information. The multi-hop relaying concept is particularly interesting as it allows for more robust communication without needing more direct links between agents, which can be analogous to indirect information sharing facilitated by a central LLM in a multi-agent web application. The focus on dynamic and changing network topologies is also relevant to web applications where agent interactions may not be fixed.