On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks

arXiv:2403.04430v1 Announce Type: new
Abstract: Generative Artificial Intelligence (GAI) shows remarkable productivity and creativity in Mobile Edge Networks, such as the metaverse and the Industrial Internet of Things. Federated learning is a promising technique for effectively training GAI models in mobile edge networks due to its data distribution. However, there is a notable issue with communication consumption when training large GAI models like generative diffusion models in mobile edge networks. Additionally, the substantial energy consumption associated with training diffusion-based models, …

abstract artificial artificial intelligence arxiv creativity cs.dc cs.lg cs.ni data demand diffusion distribution edge edge networks federated learning gai generative generative artificial intelligence green however industrial industrial internet of things intelligence internet internet of things metaverse mobile networks productivity quantization shows the metaverse training type