A federated-learning-trained lightweight diffusion model, with a latent-space autoencoder, predicts content popularity for edge caching and reportedly beats GAN-based and non-learning baselines on MovieLens 1M.
Pricing and Resource Allocation via Game Theory for a Small-Cell Video Caching System,
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Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM
A federated-learning-trained lightweight diffusion model, with a latent-space autoencoder, predicts content popularity for edge caching and reportedly beats GAN-based and non-learning baselines on MovieLens 1M.