Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866916793775292416 |
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| author | Li, Xun Wu, Qiong Fan, Pingyi Wang, Kezhi Cheng, Nan Letaief, Khaled B. |
| author_facet | Li, Xun Wu, Qiong Fan, Pingyi Wang, Kezhi Cheng, Nan Letaief, Khaled B. |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2506_04593 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM Li, Xun Wu, Qiong Fan, Pingyi Wang, Kezhi Cheng, Nan Letaief, Khaled B. Networking and Internet Architecture Signal Processing 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. |
| title | Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM |
| topic | Networking and Internet Architecture Signal Processing |
| url | https://arxiv.org/abs/2506.04593 |