mlsanityData to 7 Oct 2026

Federated Agentic AI for Wireless Networks: Fundamentals, Approaches, and Applications

arXiv 2603.01755 ↗First posted 2 Mar 2026cs.NI cs.AIcited by 0

On the map: LLM agents and tool use → Agentic AI for wireless networks

Abstract (arXiv)

Agentic artificial intelligence (AI) presents a promising pathway toward realizing autonomous and self-improving wireless network services. However, resource-constrained, widely distributed, and data-heterogeneous nature of wireless networks poses significant challenges to existing agentic AI that relies on centralized architectures, leading to high communication overhead, privacy risks, and non-independent and identically distributed (non-IID) data. Federated learning (FL) has the potential to improve the overall loop of agentic AI through collaborative local learning and parameter sharing without exchanging raw data. This paper proposes new federated agentic AI approaches for wireless networks. We first summarize fundamentals of agentic AI and mainstream FL types. Then, we illustrate how each FL type can strengthen a specific component of agentic AI's loop. Moreover, we conduct a case study on using FRL to improve the performance of agentic AI's action decision in low-altitude wireless networks (LAWNs). Finally, we provide a conclusion and discuss future research directions.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Agentic AI for wireless networks, one of 16 directions in LLM agents and tool use. Builds on 7 of its 16 references that are in the map. First posted on arXiv 2 Mar 2026.

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7 of 16 references.

Closest ancestors · 1

Same direction, newest first

  1. 2025From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions7 Oct

Other references · 6

  1. 2024AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agentscited by 100
  2. 2022Federated Graph Neural Networks: Overview, Techniques and Challengescited by 52
  3. 2023Federated Learning-Empowered AI-Generated Content in Wireless Networkscited by 26
  4. 2024StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learningcited by 22
  5. 2025Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directionscited by 22
  6. 2025Chain-of-Thought for Large Language Model-empowered Wireless Communicationscited by 3

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  2. 2026The AI Telco Engineer: Toward Autonomous Discovery of Wireless Communications Algorithms
  3. 2026Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspective
  4. 2026ComAgent: Multi-LLM based Agentic AI Empowered Intelligent Wireless Networks
  5. 2026Agentic Federated Learning: The Future of Distributed Training Orchestration
  6. 2026Agentic AI-Empowered Wireless Agent Networks With Semantic-Aware Collaboration via ILAC
  7. 2023Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence
  8. 2025Learning Multi-Access Point Coordination in Agentic AI Wi-Fi with Large Language Models