Edge Intelligence: Architectures, Challenges, and Applications

Edge Intelligence: Architectures, Challenges, and Applications

26 March 2020

Yong Li

Papers citing "Edge Intelligence: Architectures, Challenges, and Applications"

7 / 7 papers shown

Title
A communication efficient distributed learning framework for smart environments Lorenzo Valerio A. Passarella M. Conti 30 30 0 27 Sep 2021
Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning Wei Yang Bryan Lim Jer Shyuan Ng Zehui Xiong Dusit Niyato Cyril Leung Chunyan Miao Qiang Yang FedML 24 25 0 31 May 2020
6G White Paper on Edge Intelligence Ella Peltonen M. Bennis M. Capobianco Merouane Debbah Aaron Yi Ding ... S. Samarakoon K. Seppänen Paweł Sroka Sasu Tarkoma Tingting Yang 24 137 0 30 Apr 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,033 0 29 Nov 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 1,688 0 14 Apr 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 90 516 0 09 Apr 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015