Towards an Intelligent Edge: Wireless Communication Meets Machine Learning

2 September 2018

Guangxu Zhu

Papers citing "Towards an Intelligent Edge: Wireless Communication Meets Machine Learning"

23 / 73 papers shown

Title
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi Vaneet Aggarwal David J. Love H. Dai 29 91 0 18 Jul 2020
Delay Minimization for Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei H. Vincent Poor Shuguang Cui FedML 21 53 0 05 Jul 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 29 137 0 30 Apr 2020
Communication Efficient Federated Learning with Energy Awareness over Wireless Networks Richeng Jin Xiaofan He H. Dai 41 25 0 15 Apr 2020
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing Xiaolan Liu Jiadong Yu Yue Gao 44 87 0 05 Apr 2020
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems Yo-Seb Jeon M. Amiri Jun Li H. Vincent Poor 30 9 0 18 Mar 2020
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning Dingzhu Wen M. Bennis Kaibin Huang 31 48 0 10 Mar 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 29 327 0 22 Feb 2020
Convergence Time Optimization for Federated Learning over Wireless Networks Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 22 295 0 22 Jan 2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis Guangxu Zhu Yuqing Du Deniz Gunduz Kaibin Huang 44 308 0 16 Jan 2020
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach Pengchao Han Shiqiang Wang K. Leung FedML 35 175 0 14 Jan 2020
Machine Intelligence at the Edge with Learning Centric Power Allocation Shuai Wang Yik-Chung Wu Minghua Xia Rui Wang H. Vincent Poor 35 66 0 12 Nov 2019
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 30 682 0 06 Nov 2019
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning Yuqing Du Sheng Yang Kaibin Huang 35 99 0 09 Oct 2019
Hierarchical Federated Learning Across Heterogeneous Cellular Networks Mehdi Salehi Heydar Abad Emre Ozfatura Deniz Gunduz Ozgur Ercetin FedML 33 309 0 05 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 74 606 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 40 378 0 31 Jul 2019
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices Mineto Tsukada Masaaki Kondo Hiroki Matsutani 33 73 0 23 Jul 2019
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art Viet Quoc Pham Fang Fang H. Vu Md. Jalil Piran Mai Le L. Le W. Hwang Z. Ding 25 597 0 20 Jun 2019
Accelerating DNN Training in Wireless Federated Edge Learning Systems Jinke Ren Guanding Yu Guangyao Ding FedML 29 169 0 23 May 2019
Federated Learning via Over-the-Air Computation Kai Yang Tao Jiang Yuanming Shi Z. Ding FedML 31 873 0 31 Dec 2018
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 41 638 0 30 Dec 2018
Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission Dongzhu Liu Guangxu Zhu Jun Zhang Kaibin Huang 14 41 0 05 Dec 2018