A Joint Learning and Communications Framework for Federated Learning over Wireless Networks

17 September 2019

Papers citing "A Joint Learning and Communications Framework for Federated Learning over Wireless Networks"

50 / 150 papers shown

Title
Over-the-Air Statistical Estimation Chuan-Zheng Lee L. P. Barnes Ayfer Özgür 32 12 0 06 Mar 2021
Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems Chuanhong Liu Caili Guo Yang Yang Mingzhe Chen H. Vincent Poor Shuguang Cui 9 10 0 05 Mar 2021
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning Hyun-Suk Lee Jang-Won Lee 81 53 0 02 Mar 2021
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer Qunsong Zeng Yuqing Du Kaibin Huang 37 35 0 24 Feb 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis Hong Xing Osvaldo Simeone Suzhi Bi 45 94 0 29 Jan 2021
Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks Yining Wang Mingzhe Chen Zhaohui Yang Walid Saad T. Luo Shuguang Cui H. Vincent Poor OffRL 27 30 0 29 Jan 2021
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design Chongwen Huang Zhaohui Yang G. C. Alexandropoulos Kai Xiong Li Wei Chau Yuen Zhaoyang Zhang Merouane Debbah 32 327 0 22 Jan 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 56 43 0 10 Jan 2021
Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning Viet Quoc Pham Thien Huynh-The M. Alazab Jun Zhao W. Hwang 43 86 0 10 Jan 2021
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey Hossein Pirayesh Huacheng Zeng AAML 45 318 0 01 Jan 2021
Bayesian Federated Learning over Wireless Networks Seunghoon Lee Chanhoo Park Songnam Hong Yonina C. Eldar Namyoon Lee 31 23 0 31 Dec 2020
Federated Learning under Importance Sampling Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 18 52 0 14 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 39 140 0 07 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 50 111 0 02 Dec 2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks Minh N. H. Nguyen N. H. Tran Y. Tun Zhu Han Choong Seon Hong FedML 27 49 0 25 Nov 2020
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach Hang Liu Xiaojun Yuan Y. Zhang 19 125 0 20 Nov 2020
Fast Convergence Algorithm for Analog Federated Learning Shuhao Xia Jingyang Zhu Yuhan Yang Yong Zhou Yuanming Shi Wei Chen FedML 29 31 0 30 Oct 2020
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 85 92 0 19 Oct 2020
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues Leila Sedghi Zohaib Ijaz Md. Noor-A.-Rahim K. Witheephanich Dirk Pesch AI4CE 33 15 0 27 Sep 2020
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach T. Le N. H. Tran Y. Tun Minh N. H. Nguyen Shashi Raj Pandey Zhu Han Choong Seon Hong FedML 23 152 0 22 Sep 2020
Hybrid Beamforming for RIS-Empowered Multi-hop Terahertz Communications: A DRL-based Method Chongwen Huang Zhaohui Yang G. C. Alexandropoulos Kai Xiong Li Wei Chau Yuen Zhaoyang Zhang 21 62 0 20 Sep 2020
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO Ahmet M. Elbir Sinem Coleri 36 131 0 25 Aug 2020
Dispersed Federated Learning: Vision, Taxonomy, and Future Directions L. U. Khan Walid Saad Zhu Han Choong Seon Hong 49 33 0 12 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
Fast-Convergent Federated Learning Hung T. Nguyen Vikash Sehwag Seyyedali Hosseinalipour Christopher G. Brinton M. Chiang H. Vincent Poor FedML 28 192 0 26 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 48 83 0 22 Jul 2020
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks Sihua Wang Mingzhe Chen Xuanlin Liu Changchuan Yin Shuguang Cui H. Vincent Poor 27 69 0 20 Jul 2020
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
Multi-Armed Bandit Based Client Scheduling for Federated Learning Wenchao Xia Tony Q.S. Quek Kun Guo Wanli Wen Howard H. Yang Hongbo Zhu FedML 55 218 0 05 Jul 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning Myungjae Shin Chihoon Hwang Joongheon Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 27 109 0 09 Jun 2020
Communication Efficient Federated Learning with Energy Awareness over Wireless Networks Richeng Jin Xiaofan He H. Dai 36 25 0 15 Apr 2020
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning Shaoxiong Ji Wenqi Jiang A. Walid Xue Li FedML 28 66 0 21 Mar 2020
Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks Sihua Wang Mingzhe Chen Changchuan Yin Walid Saad Choong Seon Hong Shuguang Cui H. Vincent Poor 41 67 0 19 Mar 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
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems M. S. Munir N. H. Tran Walid Saad Choong Seon Hong 11 19 0 20 Feb 2020
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms Tengchan Zeng Omid Semiari Mohammad Mozaffari Mingzhe Chen Walid Saad M. Bennis FedML 22 148 0 19 Feb 2020
Communication Efficient Federated Learning over Multiple Access Channels Wei-Ting Chang Ravi Tandon FedML 21 44 0 23 Jan 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 41 308 0 16 Jan 2020
Deep Learning for Optimal Deployment of UAVs with Visible Light Communications Yining Wang Mingzhe Chen Zhaohui Yang T. Luo Walid Saad 30 95 0 28 Nov 2019
Machine Intelligence at the Edge with Learning Centric Power Allocation Shuai Wang Yik-Chung Wu Minghua Xia Rui-cang 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 30 681 0 06 Nov 2019
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 39 332 0 29 Oct 2019
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning Anis Elgabli Jihong Park Amrit Singh Bedi Chaouki Ben Issaid M. Bennis Vaneet Aggarwal 24 67 0 23 Oct 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 17 977 0 19 Jul 2019
Accelerating DNN Training in Wireless Federated Edge Learning Systems Jinke Ren Guanding Yu Guangyao Ding FedML 29 169 0 23 May 2019
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