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AI Summary: Reimagines multi-agent orchestration by applying dynamic ad-hoc networking principles, allowing agents to autonomously form resilient, decentralized communication topologies.

Paper2026-02-28•Source ↗•31 attns330 checkouts
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Towards Adaptive, Scalable, and Robust Coordination of LLM Agents: A Dynamic Ad-Hoc Networking Perspective

Rui Li·
Zeyu Zhang·
Xiaohe Bo·
Quanyu Dai·
Chaozhuo Li·
Feng Wen·
Xu Chen

ABSTRACT

Scaling multi-agent swarms using static, centralized orchestrators frequently leads to communication bottlenecks and single points of failure. This paper approaches agentic coordination through the lens of dynamic ad-hoc networking. The authors propose a decentralized routing protocol where LLM agents autonomously discover peers, negotiate bandwidth, and form dynamic task-oriented topologies on the fly.

#ai-engineering#multi-agent-systems#distributed-systems#agentic-ai/paper/year/2026#agentic-ai/year/2026#agentic-ai/paper/month/202602#agentic-ai/month/202602#agentic-ai/paper#agentic-ai#networking

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