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Xiangyu Li

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#edge computing Nov 2026

Taming Generation Quality and Latency for Text-to-Image Serving at the Edge

Serving text-to-image (T2I) generation on edge servers can reduce the serving latency and enhance the preservation of user privacy. Currently, mainstream T2I models generate images iteratively, and the more iterations, usually the higher the generation quality, but the longer the generation latency. Existing T2I servin...

Sen Dong, Ke Cheng, Ling-Kun Meng et al. · 0 citations
Conference Jul 2026

Computing-And-Power Cooperative Scheduling for Distributed AI Training at Scale

As AI training moves toward geo-distributed elastic infrastructures, its bottlenecks extend beyond GPU availability to variable energy and network conditions. The key challenge is translating heterogeneous placement, scaling, congestion, and training-stage effects into useful progress. We propose Effective Compute Util...

Yu-Xin Chen, Zhu-Zhong Qian, Lin Qian et al. · 0 citations

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