arXiv:2505.18457

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

Abir Ray

00

제출 2025-05-24

원문 초록

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.

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