A dual-loop edge-terminal multi-agent framework, combining task decomposition with parallel tool calling and offloading, is shown in a simulated 6G urban safety case study to outperform ReAct and LLMCompiler.
Xuet al., ”When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment
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LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration
A dual-loop edge-terminal multi-agent framework, combining task decomposition with parallel tool calling and offloading, is shown in a simulated 6G urban safety case study to outperform ReAct and LLMCompiler.