EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks

This paper introduces EdgeAgentX, a novel framework integrating federated learning (FL), multi-agent reinforcement learning (MARL), and adversarial defense mechanisms, tailored for military communication networks. EdgeAgentX significantly improves autonomous decision-making, reduces latency, enhances throughput, and robustly withstands adversarial disruptions, as evidenced by comprehensive simulations.

@article{ray2025_2505.18457,
  title={ EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks },
  author={ Abir Ray },
  journal={arXiv preprint arXiv:2505.18457},
  year={ 2025 }
}