Optimizing AIGC Services by Prompt Engineering and Edge Computing: A Generative Diffusion Model-Based Contract Theory Approach

Research article (IEEE Transactions on Vehicular Technology, 2024) · cited 16× · AI/ML
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Optimizing AIGC Services by Prompt Engineering and Edge Computing: A Generative Diffusion Model-Based Contract Theory Approach

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Optimizing AIGC Services by Prompt Engineering and Edge Computing: A Generative Diffusion Model-Based Contract Theory Approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimizing AIGC Services by Prompt Engineering and Edge Computing: A Generative Diffusion Model-Based Contract Theory Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-aigc-services-by-prompt-engineering-and-edge-computing-a-generative-diffusion-model-based-contract-theory-app
MLA “Optimizing AIGC Services by Prompt Engineering and Edge Computing: A Generative Diffusion Model-Based Contract Theory Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-aigc-services-by-prompt-engineering-and-edge-computing-a-generative-diffusion-model-based-contract-theory-app.
BibTeX @misc{4ortxyz_optimizing-aigc-services-by-prompt-engineering-and-edge-computing-a-generative-diffusion-model-based-contract-theory-app_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing AIGC Services by Prompt Engineering and Edge Computing: A Generative Diffusion Model-Based Contract Theory Approach}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-aigc-services-by-prompt-engineering-and-edge-computing-a-generative-diffusion-model-based-contract-theory-app}, note = {Accessed: 2026-05-24}}
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