2 citations · 7 across the 6 of their papers we have counts for
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cs.DC2024★ 1 cited
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices
Shengyuan Ye, Liekang Zeng, Xiaowen Chu +2
On-device Deep Neural Network (DNN) training has been recognized as crucial for privacy-preserving machine learning at the edge. However, the intensive training workload and limite…
cs.DC2023★ 2 cited
Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU
Zhihe Zhao, Neiwen Ling, Nan Guan +1
Many applications such as autonomous driving and augmented reality, require the concurrent running of multiple deep neural networks (DNN) that poses different levels of real-time p…