mlsanityData to 7 Oct 2026

Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services

arXiv 2303.16129 ↗First posted 28 Mar 2023cs.NIcited by 76

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Abstract (arXiv)

Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This survey paper focuses on the deployment of AIGC applications, e.g., ChatGPT and Dall-E, at mobile edge networks, namely mobile AIGC networks, that provide personalized and customized AIGC services in real time while maintaining user privacy. We begin by introducing the background and fundamentals of generative models and the lifecycle of AIGC services at mobile AIGC networks, which includes data collection, training, finetuning, inference, and product management. We then discuss the collaborative cloud-edge-mobile infrastructure and technologies required to support AIGC services and enable users to access AIGC at mobile edge networks. Furthermore, we explore AIGCdriven creative applications and use cases for mobile AIGC networks. Additionally, we discuss the implementation, security, and privacy challenges of deploying mobile AIGC networks. Finally, we highlight some future research directions and open issues for the full realization of mobile AIGC networks.

Key facts. Cited by 76 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Mar 2023.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 18; 2024: 30; 2025: 19; 2026: 9.

76 papers.

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  1. 2025Large Language Model Agent: A Survey on Methodology, Applications and Challengescited by 194
  2. 2024Mobile Edge Intelligence for Large Language Models: A Contemporary Surveycited by 125
  3. 2023Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directionscited by 55
  4. 2024A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicinecited by 45
  5. 2024BitDelta: Your Fine-Tune May Only Be Worth One Bitcited by 38
  6. 2023Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformerscited by 35
  7. 2023A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutionscited by 34
  8. 2024Advances and Open Challenges in Federated Foundation Modelscited by 33
  9. 2025Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latencycited by 32
  10. 2024Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trendscited by 26
  11. 2024At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligencecited by 25
  12. 2024Unleashing the Power of Continual Learning on Non-Centralized Devices: A Surveycited by 23
38 more
  1. 2023Wireless Network Digital Twin for 6G: Generative AI as A Key Enablercited by 22
  2. 2024Diffusion-Based Visual Art Creation: A Survey and New Perspectivescited by 17
  3. 2023From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlookscited by 16
  4. 2023Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyondcited by 14
  5. 2024Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challengescited by 14
  6. 2024Synergizing Foundation Models and Federated Learning: A Surveycited by 14
  7. 2023NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Servicescited by 13
  8. 2023Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devicescited by 13
  9. 2025Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Surveycited by 13
  10. 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 13
  11. 2024Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Surveycited by 11
  12. 2024VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Frameworkcited by 10
  13. 2023An Overview on Generative AI at Scale with Edge-Cloud Computingcited by 9
  14. 2023RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Modelscited by 9
  15. 2024Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Surveycited by 9
  16. 2024Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Surveycited by 9
  17. 2023A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communicationcited by 8
  18. 2023SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communicationscited by 7
  19. 2023A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainabilitycited by 7
  20. 2023Resource-efficient Generative Mobile Edge Networks in 6G Era: Fundamentals, Framework and Case Studycited by 7
  21. 2024Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantizationcited by 7
  22. 2023A Survey of Generative AI for Intelligent Transportation Systems: Road Transportation Perspectivecited by 6
  23. 2024Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computingcited by 6
  24. 2025Low-Complexity Semantic Packet Aggregation for Token Communication via Lookahead Searchcited by 5
  25. 2024Deploying Foundation Model Powered Agent Services: A Surveycited by 4
  26. 2025Mapping the Landscape of Generative AI in Network Monitoring and Managementcited by 4
  27. 2025Federated Intelligence: When Large AI Models Meet Federated Fine-Tuning and Collaborative Reasoning at the Network Edgecited by 4
  28. 2024Multi-Agent RL-Based Industrial AIGC Service Offloading over Wireless Edge Networkscited by 3
  29. 2025Generative Artificial Intelligence for Internet of Things Computing: A Systematic Surveycited by 3
  30. 2025A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networkscited by 3
  31. 2023ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Samplingcited by 2
  32. 2023Scalable AI Generative Content for Vehicular Network Semantic Communicationcited by 2
  33. 2024A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehiclescited by 2
  34. 2024Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systemscited by 2
  35. 2024Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Servicescited by 2
  36. 2025A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systemscited by 2
  37. 2025Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC)cited by 2
  38. 2025Edge Large AI Models: Revolutionizing 6G Networkscited by 2

50 most cited of 76 All 76 (JSON)