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Arxiv
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Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks
- AIGC services in edge networks face challenges due to high service delay and resource demands.
- A novel method called LAD-TS is proposed for task scheduling in edge networks.
- LAD-TS minimizes service delays by leveraging diffusion models and reinforcement learning.
- DEdgeAI, a prototype edge system, demonstrates shorter service delays compared to existing AIGC platforms.
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