arXiv Open Access 2025

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

Abir Ray

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Abstrak

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.

Topik & Kata Kunci

cs.AI cs.LG cs.MA

Penulis (1)

Abir Ray

Format Sitasi

APA MLA BibTeX

Ray, A. (2025). EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks. https://arxiv.org/abs/2505.18457

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓