Work

Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM

Year: 2025

Type: article

Abstract: Edge caching is an emerging technology that empowers caching units at edge nodes, allowing users to fetch contents of interest that have been pre-cached at the edge nodes. The key to pre-caching is to maximize the cache hit percentage for cached content without compromising users’ privacy. In this letter, we propose a federated learning (FL) assisted edge caching scheme based on lightweight architecture denoising diffusion probabilistic model (LDPM). Our simulation results verify that our proposed scheme achieves a higher cache hit percentage compared to existing FL-based methods and baseline methods.

Source: IEEE Networking Letters

DOI: 10.1109/lnet.2025.3599196

Authors: Xun Li, Qiong Wu, Pingyi Fan, Kezhi Wang, Nan Cheng, Khaled B. Letaief