Author

Kejiang Ye

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Jul 2026

BrownoutMoE: Structure-Aware Expert Grouping for Efficient and Accurate LLM Web-based Services

Inspired by the brownout paradigm in service computing, BrownoutMoE reorganizes experts into groups to improve utilization and system efficiency while maintaining service quality and introduces a grouping-consistent distillation process to produce deployable models that are compatible with standard inference pipelines.

Yi Ding, Minxian Xu, Zheng-Xin Fang et al. · arXiv.org · 0 citations

Preprint Jul 2026

CoCoScale: Leveraging Layer-wise Scaling to Unlock the Potential of Online LLM Serving

CoScale is proposed, a layer-wise dynamic scaling mechanism that selectively expands the parallelism of hot layers onto idle resources reclaimed from underutilized devices, enabling elastic data parallelism without altering model architectures or adding hardware overhead.

Jingfeng Wu, Yiyuan He, Minxian Xu et al. · 0 citations