Enhanced Partitioning of DNN Layers for Uploading from Mobile Devices to Edge Servers

Author:

Shin Kwang Yong1,Jeong Hyuk-Jin1,Moon Soo-Mook1

Affiliation:

1. Seoul National University, Seoul, South Korea

Funder

National Research Foundation (NRF) of Korea

Publisher

ACM Press

Reference16 articles.

1. Hyuk-Jin Jeong, Hyeon-Jae Lee, Chang Hyun Shin, and Soo-Mook Moon. 2018. IONN: Incremental Offloading of Neural Network Computations from Mobile Devices to Edge Servers. In Proceedings of the 2018 ACM Symposium on Cloud Computing (SoCC '18). ACM, New York, NY, USA, 401--411.

2. Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems (pp. 1097--1105).

3. Hewlett Packard Haven, https://www.havenondemand.com/

4. IBM Alchemy API, https://www.ibm.com/watson/alchemy-api.html

5. Yiping Kang, et al. (2017). Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge. In Proceedings of the 22nd International Conference on Architectural Support for Programming Languages and Operating Systems (pp. 615--629). ACM.

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