Energy-Efficient Multi-Orchestrator Mobile Edge Learning

Energy-Efficient Multi-Orchestrator Mobile Edge Learning

2 September 2021

Mhd Saria Allahham

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Papers citing "Energy-Efficient Multi-Orchestrator Mobile Edge Learning"

12 / 12 papers shown

Title
Communicate to Learn at the Edge Deniz Gunduz David Burth Kurka Mikolaj Jankowski M. Amiri Emre Ozfatura Sreejith Sreekumar 73 64 0 28 Sep 2020
Jointly Optimizing Dataset Size and Local Updates in Heterogeneous Mobile Edge Learning Umair Mohammad Sameh Sorour M. Hefeida 48 7 0 12 Jun 2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning Siqi Luo Xu Chen Qiong Wu Zhi Zhou Shuai Yu FedML 127 346 0 26 Feb 2020
D2D-Enabled Data Sharing for Distributed Machine Learning at Wireless Network Edge Xiaoran Cai Xiaopeng Mo Junyang Chen Jie Xu 38 26 0 28 Jan 2020
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation Canh T. Dinh N. H. Tran Minh N. H. Nguyen Choong Seon Hong Wei Bao Albert Y. Zomaya Vincent Gramoli FedML 129 335 0 29 Oct 2019
Client-Edge-Cloud Hierarchical Federated Learning Lumin Liu Jun Zhang S. H. Song Khaled B. Letaief FedML 91 752 0 16 May 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 79 1,364 0 07 Mar 2019
Adaptive Task Allocation for Mobile Edge Learning Jin Zhu Wei Zheng 79 32 0 09 Nov 2018
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning Guangxu Zhu Dongzhu Liu Yuqing Du Changsheng You Jun Zhang Kaibin Huang 71 507 0 02 Sep 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 184 2,587 0 02 Jun 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 263 1,721 0 14 Apr 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 417 17,653 0 17 Feb 2016