面向工业物联网的端侧大模型推理，级联多粒度剪枝兼顾精度与效率，落地价值突出。
arXiv:2606.26861v1 Announce Type: new Abstract: Deploying large language models (LLMs) on Industrial Internet of Things (IIoT) edge devices demands ex…
端侧大模型推理的能耗难题有了新解法，EnerInfer提出能源感知优化框架，兼顾性能与功耗，适合部署在手机等边缘设备。
arXiv:2606.23001v1 Announce Type: cross Abstract: On-device LLM inference is increasingly attractive for privacy-preserving, reliable, and cost-effect…
移动端原生微调框架，让LLM在手机等嵌入式设备上也能高效定制，突破云端限制
arXiv:2512.08211v2 Announce Type: replace Abstract: Large language models (LLMs) are moving from cloud-centric services toward on-device embedded AI, …