DNN Model Deployment on Distributed Edges
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-92231-3_2
Reference9 articles.
1. Fowers, J., et al.: A configurable cloud-scale DNN processor for real-time AI. In: 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture (ISCA), pp. 1–14. IEEE (2018)
2. Hsu, K.J., Bhardwaj, K., Gavrilovska, A.: Couper: DNN model slicing for visual analytics containers at the edge. In: Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, pp. 179–194 (2019)
3. Lockhart, L., Harvey, P., Imai, P., Willis, P., Varghese, B.: Scission: performance-driven and context-aware cloud-edge distribution of deep neural networks. In: 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), pp. 257–268. IEEE (2020)
4. Ren, P., Qiao, X., Huang, Y., Liu, L., Dustdar, S., Chen, J.: Edge-assisted distributed DNN collaborative computing approach for mobile web augmented reality in 5G networks. IEEE Network 34(2), 254–261 (2020)
5. Teerapittayanon, S., McDanel, B., Kung, H.T.: Distributed deep neural networks over the cloud, the edge and end devices. In: IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pp. 328–339 (2017)
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. ChainNet: A Customized Graph Neural Network Model for Loss-Aware Edge AI Service Deployment;2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN);2024-06-24
2. Towards Resource-Efficient DNN Deployment for Traffic Object Recognition: From Edge to Fog;Lecture Notes in Computer Science;2024
3. Partitioning and Placement of Deep Neural Networks on Distributed Edge Devices to Maximize Inference Throughput;2022 32nd International Telecommunication Networks and Applications Conference (ITNAC);2022-11-30
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3