DeepSplit: Dynamic Splitting of Collaborative Edge-Cloud Convolutional Neural Networks

@article{Mehta2020DeepSplitDS,
  title={DeepSplit: Dynamic Splitting of Collaborative Edge-Cloud Convolutional Neural Networks},
  author={Rishabh Mehta and Rajeev Shorey},
  journal={2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)},
  year={2020},
  pages={720-725}
}
  • Rishabh Mehta, Rajeev Shorey
  • Published in
    International Conference on…
    2020
  • Computer Science
  • CNNs (Convolutional Neural Networks) can have a large number of parameters, thereby having high storage and computational requirements. These requirements are not typically satisfied by resource-constrained edge devices. Thus, current industry practice for making decisions at edge include transferring visual data from edge to cloud nodes, making prediction on that data with a CNN processed in the cloud and return the output to edge devices. There are two problems with this approach - Sending… CONTINUE READING

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