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cs.AI2022
The Effects of Partitioning Strategies on Energy Consumption in Distributed CNN Inference at The Edge
Erqian Tang, Xiaotian Guo, Todor Stefanov
Nowadays, many AI applications utilizing resource-constrained edge devices (e.g., small mobile robots, tiny IoT devices, etc.) require Convolutional Neural Network (CNN) inference…
cs.DC2022
AutoDiCE: Fully Automated Distributed CNN Inference at the Edge
Xiaotian Guo, Andy D. Pimentel, Todor Stefanov
Deep Learning approaches based on Convolutional Neural Networks (CNNs) are extensively utilized and very successful in a wide range of application areas, including image classifica…