Jul 2026
A Self-Calibrating Agentic AI Framework for Autonomous Edge Resource Allocation
Experimental results show that the proposed self-calibrating agentic framework successfully profiles the zero-knowledge workloads, achieving a higher accuracy than baseline LLM agents and establishing a robust foundation for deploying autonomous AI in decentralized infrastructures.
Fin Gentzen, Marla Grunewald, Iulisloi Zacarias et al.
· arXiv.org · 0 citations