1 |
AbdulsalamY, ShailendraS, ShamimH M, et al. IoT big data analytics for smart homes with fog and cloud computing[J]. Future Generation Computer Systems, 2019,(2): 563 - 573.
|
2 |
GuoT. Cloud-based or on-device: An empirical study of mobile deep inference[A]. IEEE International Conference on Cloud Engineering (IC2E) [C]. Orlando, USA: IEEE, 2018. 184 - 190.
|
3 |
ZhouZ, LiaoH, GuB, et al. Robust mobile crowd sensing when deep learning meets edge computing[J]. IEEE Network, 2018, 32(4): 54 - 60.
|
4 |
KangY, HauswaldJ, GaoC, et al. Neurosurgeon: collaborative intelligence between the cloud and mobile edge[J]. ACM SIGPLAN Notices, 2017, 52(4): 615 - 629.
|
5 |
LiH, ShouG, HuY, et al. Mobile edge computing: Progress and challenges[A]. IEEE International Conference on Mobile Cloud Computing, Services, and Engineering[C]. Oxford, UK: IEEE, 2016. 83 - 84.
|
6 |
AhmedA, AhmedE. A survey on mobile edge computing[A]. International Conference on Intelligent Systems and Control[C]. Coimbatore, India, 2016. 1 - 8.
|
7 |
HuangY, MaX, FanX, et al. When deep learning meets edge computing[A]. IEEE International Conference on Network Protocols[C]. Toronto, Canada: IEEE, 2017. 1 - 2.
|
8 |
HuangY, ZhuY, FanX, et al. Task scheduling with optimized transmission time in collaborative cloud-edge learning[A]. IEEE International Conference on Computer Communication and Networks[C]. Hangzhou, China: IEEE, 2018. 1 - 9.
|
9 |
LiE, ZhouZ, ChenX. Edge intelligence: On-demand deep learning model co-inference with device-edge synergy[A]. Proceedings of the Workshop on Mobile Edge Communications[C]. Budapest, Hungary: ACM, 2018.31 - 36.
|
10 |
WangZ, XueG, QianS, et al. CampEdge: Distributed computation offloading strategy under large-scale Ap-based edge computing system for IoT applications[J]. IEEE Internet of Things Journal, 2020:6733 - 6745.
|
11 |
CampoloC, IeraA, MolinaroA, RuggeriG. MEC support for 5g-v2x use cases through docker containers[A]. IEEE Wireless Communications and Networking Conference[C]. Marrakesh, Morocco: IEEE, 2019. 1 - 6.
|
12 |
GirshickR, DonahueJ, DarrellT, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[A]. IEEE Conference on Computer Vision and Pattern Recognition[C]. Columbus, USA: IEEE, 2014. 580 - 587.
|
13 |
EvgenyA, DenisM, SergeN. Comparison of regularization methods for ImageNet classification with deep convolutional neural networks[J]. AASRI Procedia, 2014,(6): 89 - 94.
|
14 |
UijlingsJRR, van de SandeKEA, GeversT, et al. Selective search for object recognition[J]. International Journal of Computer Vision, 2013, 104(2): 154 - 171.
|