AIBullisharXiv – CS AI · 7h ago6/10
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Dynamic Trust-Aware Sparse Communication Topology for LLM-Based Multi-Agent Consensus
Researchers propose DySCo, a dynamic sparse communication mechanism for LLM-based multi-agent systems that reduces computational overhead by selectively routing messages between agents rather than using full broadcast. The approach maintains consensus quality while cutting token costs and latency that scale quadratically with agent count, addressing a key efficiency bottleneck in collaborative AI reasoning systems.