mlsanityData to 7 Oct 2026

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence

arXiv 2307.02779 ↗First posted 6 Jul 2023cs.IT cs.LG cs.NIcited by 55

Not on the map. Why?

Abstract (arXiv)

The evolution of wireless networks gravitates towards connected intelligence, a concept that envisions seamless interconnectivity among humans, objects, and intelligence in a hyper-connected cyber-physical world. Edge artificial intelligence (Edge AI) is a promising solution to achieve connected intelligence by delivering high-quality, low-latency, and privacy-preserving AI services at the network edge. This article presents a vision of autonomous edge AI systems that automatically organize, adapt, and optimize themselves to meet users' diverse requirements, leveraging the power of large language models (LLMs), i.e., Generative Pretrained Transformer (GPT). By exploiting the powerful abilities of GPT in language understanding, planning, and code generation, as well as incorporating classic wisdom such as task-oriented communication and edge federated learning, we present a versatile framework that efficiently coordinates edge AI models to cater to users' personal demands while automatically generating code to train new models in a privacy-preserving manner. Experimental results demonstrate the system's remarkable ability to accurately comprehend user demands, efficiently execute AI models with minimal cost, and effectively create high-performance AI models at edge servers.

Key facts. Cited by 55 papers in the map (data through 7 Oct 2026). Builds on 14 of its 22 references that are in the map. First posted on arXiv 6 Jul 2023.

Builds on

14 of 22 references.

References · 14

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  3. 2016Communication-Efficient Learning of Deep Networks from Decentralized Datacited by 7,592
  4. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  5. 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,037
  6. 2023HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Facecited by 1,173
  7. 2023TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIscited by 184
  8. 2019The Roadmap to 6G -- AI Empowered Wireless Networkscited by 150
  9. 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applicationscited by 96
  10. 2021Semantic Communications: Principles and Challengescited by 90
  11. 2023MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Taskscited by 66
  12. 2022Less Data, More Knowledge: Building Next Generation Semantic Communication Networkscited by 61
2 more
  1. 2020Communication-Computation Trade-Off in Resource-Constrained Edge Inferencecited by 60
  2. 2023TinyML: Tools, Applications, Challenges, and Future Research Directionscited by 14

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 7; 2024: 21; 2025: 19; 2026: 8.

55 papers.

Sort:

By area:

  1. 2025Multi-Agent Collaboration Mechanisms: A Survey of LLMscited by 424
  2. 2024Mobile Edge Intelligence for Large Language Models: A Contemporary Surveycited by 125
  3. 2023Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunitiescited by 89
  4. 2024Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunitiescited by 83
  5. 2023Large Language Model Enhanced Multi-Agent Systems for 6G Communicationscited by 53
  6. 2025AI Flow: Perspectives, Scenarios, and Approachescited by 44
  7. 2024When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignmentcited by 43
  8. 2024WirelessLLM: Empowering Large Language Models Towards Wireless Intelligencecited by 43
  9. 2024AI Flow at the Network Edgecited by 43
  10. 2024Advances and Open Challenges in Federated Foundation Modelscited by 33
  11. 2024Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6Gcited by 30
  12. 2024TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specificationscited by 26
38 more
  1. 2023AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systemscited by 19
  2. 2024Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detectioncited by 16
  3. 2025ViDDAR: Vision Language Model-Based Task-Detrimental Content Detection for Augmented Realitycited by 16
  4. 2025Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Modelcited by 15
  5. 2024Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigmcited by 13
  6. 2025Device-Cloud Collaborative LLM Inference with Multi-Modal, Multi-Task, Multi-Turn Conversationscited by 13
  7. 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 13
  8. 2024VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Frameworkcited by 10
  9. 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directionscited by 10
  10. 2023RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Modelscited by 9
  11. 2024Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Surveycited by 9
  12. 2024EdgeShard: Efficient LLM Inference via Collaborative Edge Computingcited by 7
  13. 2023Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunitiescited by 5
  14. 2025Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Modelscited by 5
  15. 2024Follow-Me AI: Energy-Efficient User Interaction with Smart Environmentscited by 4
  16. 2025Mapping the Landscape of Generative AI in Network Monitoring and Managementcited by 4
  17. 2025UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spacescited by 4
  18. 2024Towards Edge General Intelligence via Large Language Models: Opportunities and Challengescited by 3
  19. 2024Large Language Model Empowered Next-Generation MIMO Networks: Fundamentals, Challenges, and Visionscited by 2
  20. 2024Generative AI-in-the-loop: Integrating LLMs and GPTs into the Next Generation Networkscited by 2
  21. 2025LeMix: Unified Scheduling for LLM Training and Inference on Multi-GPU Systemscited by 2
  22. 2025Prediction-Powered Communication with Distortion Guaranteescited by 2
  23. 2025FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuningcited by 2
  24. 2023Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approachcited by 1
  25. 2023Edge AI for Internet of Energy: Challenges and Perspectivescited by 1
  26. 2024An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Modelscited by 1
  27. 2024Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Securitycited by 1
  28. 2024Federated Low-Rank Adaptation with Differential Privacy over Wireless Networkscited by 1
  29. 2025From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communicationscited by 1
  30. 2025Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Modelscited by 1
  31. 2025BERT4beam: Large AI Model Enabled Generalized Beamforming Optimizationcited by 1
  32. 2025MACE: A Hybrid LLM Serving System with Colocated SLO-aware Continuous Retraining Alignmentcited by 1
  33. 2026WISV: Wireless-Informed Semantic Verification for Distributed Speculative Decoding in Device-Edge LLM Inferencecited by 1
  34. 2026Lightweight Adaptive Feature Composition for Heterogeneous Downstream Adaptation of Wireless Foundation Modelscited by 1
  35. 2025Translating Federated Learning Algorithms in Python into CSP Processes Using ChatGPTcited by 0
  36. 2025An Agentic Framework for Rapid Deployment of Edge AI Solutions in Industry 5.0cited by 0
  37. 2025Toward Agentic Environments: GenAI and the Convergence of AI, Sustainability, and Human-Centric Spacescited by 0
  38. 2026Automating aggregation strategy selection in federated learningcited by 0

50 most cited of 55 All 55 (JSON)