Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

19 July 2019

Victor C. M. Leung

Dusit Niyato

Xu Chen

Papers citing "Convergence of Edge Computing and Deep Learning: A Comprehensive Survey"

8 / 58 papers shown

Title
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles Sicong Liu Junzhao Du Kaiming Nan Zimu Zhou Zhangyang Wang Yingyan Lin 32 30 0 08 Jun 2020
HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms Justin Hu Ariana Bruno Brian Ritchken Brendon Jackson Mateo Espinosa Zarlenga Aditya Shah Christina Delimitrou 10 13 0 04 Feb 2020
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 28 141 0 02 Nov 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 763 0 28 Sep 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 74 605 0 02 Sep 2019
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 38 378 0 31 Jul 2019
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN S. Nikouei Yu Chen Sejun Song Ronghua Xu Baek-Young Choi Timothy R. Faughnan 40 83 0 24 Apr 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018