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About this paper
Mozhgan Navardi, Romina Aalishah, Yuzhe Fu, Yueqian Lin, Hai Li, Yiran Chen, Tinoosh Mohsenin
The survey maps strategies for running generative AI on edge devices, where limited memory and compute complicate deployment. It organizes responses into software optimization, hardware optimization, and deployment frameworks, rather than testing one system. For ultra-high-resolution super-resolution, it reports TileSR latency reductions of up to 82% and image-quality improvements of up to 10%; these task-specific findings do not establish general gains.
Summary by alphaXiv.
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