95 citations · 96 across the 3 of their papers we have counts for
3 papers
cs.DC2023★ 1 cited
KubeEdge-Sedna v0.3: Towards Next-Generation Automatically Customized AI Engineering Scheme
Zimu Zheng
The scale of the global edge AI market continues to grow. The current technical challenges that hinder the large-scale replication of edge AI are mainly small samples on the edge a…
cs.AI2022
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
Mu Yuan, Lan Zhang, Zimu Zheng +2
The cost efficiency of model inference is critical to real-world machine learning (ML) applications, especially for delay-sensitive tasks and resource-limited devices. A typical di…
cs.DC2021★ 95 cited
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation
Zimu Zheng, Qiong Chen, Chuang Hu +2
On edge devices, data scarcity occurs as a common problem where transfer learning serves as a widely-suggested remedy. Nevertheless, transfer learning imposes a heavy computation b…