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：移动网络中边缘-云生成式人工智能的释放：AIGC服务概述
摘要：人工智能生成内容（AIGC）是使用人工智能算法自动生成、操作和修改有价值和多样化数据的方法。本文重点研究AIGC应用在移动边缘网络上（也就是移动AIGC网络），提供实时的个性化和定制的AIGC服务同时保护用户隐私。首先介绍生成模型的背景和基础，以及移动AIGC网络中AIGC服务的生命周期，包括数据收集、训练、微调、推理和产品管理。然后讨论支持AIGC服务并使用户能够在移动边缘网络上访问AIGC所需的合作云边缘移动基础设施和技术。此外，我们还探讨了移动AIGC网络中基于AIGC的创意应用和用例。此外，还讨论了部署移动AIGC网络的实施、安全和隐私挑战。最后，我们强调了一些移动AIGC网络的未来研究方向和开放问题。
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