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.
翻译：摘要：人工智能生成式内容（AIGC）是一种使用人工智能算法自动生成、操作和修改有价值且多样化数据的创新性方法。本综述论文重点关注在移动边缘网络，即提供个性化和定制化AIGC服务的移动AIGC网络中部署AIGC应用程序（例如ChatGPT和Dall-E）。我们首先介绍生成模型的背景和基本原理以及在移动AIGC网络中开展AIGC服务的生命周期，包括数据收集、培训、微调、推理和产品管理。然后我们讨论了支持AIGC服务并使用户能够在移动边缘网络中访问AIGC的协作云-边缘-移动基础设施和技术。此外，我们探讨了移动AIGC网络中基于AIGC的创意应用程序和案例。另外，我们还讨论了部署移动AIGC网络所面临的实现、安全和隐私挑战。最后，我们概述了关于实现移动AIGC网络完整性的一些未来研究方向和开放性问题。
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