arXiv Open Access 2025

Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM

Xun Li Qiong Wu Pingyi Fan Kezhi Wang Nan Cheng +1 lainnya

Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

cs.NI eess.SP

Penulis (6)

Xun Li

Qiong Wu

Pingyi Fan

Kezhi Wang

Nan Cheng

Khaled B. Letaief

Format Sitasi

APA MLA BibTeX

Li, X., Wu, Q., Fan, P., Wang, K., Cheng, N., Letaief, K.B. (2025). Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM. https://arxiv.org/abs/2506.04593

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓