Towards Transmission-Friendly and Robust CNN Models Over Cloud and Device

Chuntao Ding1; Zhichao Lu2; Felix Juefei-Xu3; Vishnu Naresh Boddeti4; Yidong Li1; Jiannong Cao5

2022

10.1109/TMC.2022.3186496

IEEE Transactions on Mobile Computing   Impact Factor & Quartile

2161-9875

CNNs cloud computing cloud-assisted Internet of Things

EI

Others

20222812350196

Convolution ; Deep neural networks ; Internet of things ; Ubiquitous computing

Ergonomics and Human Factors Engineering:461.4 ; Information Theory and Signal Processing:716.1 ; Data Communication, Equipment and Techniques:722.3 ; Digital Computers and Systems:722.4 ; Computer Software, Data Handling and Applications:723 ; Computer Applications:723.5

IEEE

1.School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China
2.Guangdong Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China
3.Alibaba Group, USA
4.Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA
5.Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

Chuntao Ding,Zhichao Lu,Felix Juefei-Xu,et al. Towards Transmission-Friendly and Robust CNN Models Over Cloud and Device[J]. IEEE Transactions on Mobile Computing,2022,PP(99):1-14.

Chuntao Ding,Zhichao Lu,Felix Juefei-Xu,Vishnu Naresh Boddeti,Yidong Li,&Jiannong Cao.(2022).Towards Transmission-Friendly and Robust CNN Models Over Cloud and Device.IEEE Transactions on Mobile Computing,PP(99),1-14.

Chuntao Ding,et al."Towards Transmission-Friendly and Robust CNN Models Over Cloud and Device".IEEE Transactions on Mobile Computing PP.99(2022):1-14.