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
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 34 399 0 01 Jun 2022
Towards Communication-Learning Trade-off for Federated Learning at the Network Edge Jian-ji Ren Wanli Ni Hui Tian FedML 23 15 0 27 May 2022
Time-triggered Federated Learning over Wireless Networks Xiaokang Zhou Yansha Deng Huiyun Xia Shaochuan Wu M. Bennis FedML 37 20 0 26 Apr 2022
FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning Afsaneh Mahmoudi H. S. Ghadikolaei José Hélio da Cruz Júnior Carlo Fischione 30 9 0 16 Apr 2022
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing Yong-Nam Oh Yo-Seb Jeon Mingzhe Chen Walid Saad FedML 33 11 0 16 Apr 2022
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks Yi Shi Y. Sagduyu T. Erpek FedML 24 15 0 06 Apr 2022
Over-the-Air Federated Learning via Second-Order Optimization Peng Yang Yuning Jiang Ting Wang Yong Zhou Yuanming Shi Colin N. Jones 47 28 0 29 Mar 2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks Won Joon Yun Yunseok Kwak Hankyul Baek Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim 23 16 0 26 Mar 2022
Sparse Federated Learning with Hierarchical Personalized Models Xiaofeng Liu Qing Wang Yunfeng Shao Yinchuan Li FedML 47 11 0 25 Mar 2022
SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing Nicolò Dal Fabbro S. Dey M. Rossi Luca Schenato FedML 31 14 0 11 Feb 2022
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks Seyyedali Hosseinalipour Su Wang Nicolò Michelusi Vaneet Aggarwal Christopher G. Brinton David J. Love M. Chiang 25 27 0 07 Feb 2022
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning Yixuan Li Xiaoqi Qin H. Chen K. Han Ping Zhang FedML 33 13 0 06 Feb 2022
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning Wenzhi Fang Ziyi Yu Yuning Jiang Yuanming Shi Colin N. Jones Yong Zhou FedML 78 57 0 24 Jan 2022
A Comprehensive Survey on Federated Learning: Concept and Applications Dhurgham Hassan Mahlool Mohammed Hamzah Abed FedML 23 22 0 23 Jan 2022
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 21 73 0 19 Jan 2022
On Convergence of Federated Averaging Langevin Dynamics Wei Deng Qian Zhang Yi Ma Zhao Song Guang Lin FedML 30 16 0 09 Dec 2021
Communication-Efficient Federated Learning via Quantized Compressed Sensing Yong-Nam Oh Namyoon Lee Yo-Seb Jeon H. Vincent Poor FedML MQ 30 34 0 30 Nov 2021
Dynamic Network-Assisted D2D-Aided Coded Distributed Learning Nikita Zeulin O. Galinina N. Himayat Sergey D. Andreev R. Heath 27 5 0 26 Nov 2021
An Optimization Framework for Federated Edge Learning Yangchen Li Ying Cui Vincent K. N. Lau FedML 19 7 0 26 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 43 417 0 24 Nov 2021
Over-the-Air Federated Learning with Retransmissions (Extended Version) Henrik Hellström Viktoria Fodor Carlo Fischione 29 2 0 19 Nov 2021
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities Tuo Zhang Lei Gao Chaoyang He Mi Zhang Bhaskar Krishnamachari Salman Avestimehr FedML 19 168 0 15 Nov 2021
Power Allocation for Wireless Federated Learning using Graph Neural Networks Boning Li A. Swami Santiago Segarra FedML 66 12 0 15 Nov 2021
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources Student Member Ieee Hao Chen Shaocheng Huang Deyou Zhang Ming Xiao Fellow Ieee Mikael Skoglund L. F. I. H. Vincent Poor 40 94 0 22 Oct 2021
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers Xin-Yue Fan Yue Wang Yan Huo Zhi Tian FedML 24 23 0 18 Oct 2021
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices Dingzhu Wen Ki-Jun Jeon Kaibin Huang FedML 70 90 0 30 Sep 2021
Paving the Way for Distributed Artificial Intelligence over the Air Guoqing Ma Shuping Dang Chuanting Zhang B. Shihada 27 3 0 24 Sep 2021
Fundamental limits of over-the-air optimization: Are analog schemes optimal? Shubham K. Jha Prathamesh Mayekar Himanshu Tyagi 26 7 0 11 Sep 2021
Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization Shuai Wang Dachuan Li Rui-cang Wang Qi Hao Yik-Chung Wu Derrick Wing Kwan Ng 31 1 0 31 Aug 2021
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks Chenyuan Feng Heng Yang Deshun Hu Zhiwei Zhao Tony Q.S. Quek Geyong Min 36 74 0 20 Aug 2021
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks Yantong Wang Ye Hu Zhaohui Yang Walid Saad Kai‐Kit Wong V. Friderikos 31 4 0 15 Aug 2021
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator I. Donevski J. J. Nielsen P. Popovski 35 7 0 05 Aug 2021
Accelerated Gradient Descent Learning over Multiple Access Fading Channels Raz Paul Yuval Friedman Kobi Cohen 29 30 0 26 Jul 2021
How Does Cell-Free Massive MIMO Support Multiple Federated Learning Groups? Thanh Tung Vu H. Ngo T. Marzetta M. Matthaiou AI4CE 30 13 0 20 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Faithful Edge Federated Learning: Scalability and Privacy Meng Zhang Ermin Wei R. Berry FedML 26 44 0 30 Jun 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach Su Wang Seyyedali Hosseinalipour M. Gorlatova Christopher G. Brinton M. Chiang 40 36 0 29 Jun 2021
Low-Latency Federated Learning over Wireless Channels with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Cailian Chen Shi Jin Zhu Han H. Vincent Poor FedML 37 73 0 20 Jun 2021
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning A. Albaseer M. Abdallah Ala I. Al-Fuqaha A. Erbad 31 35 0 20 Jun 2021
Over-the-Air Decentralized Federated Learning Yandong Shi Yong Zhou Yuanming Shi FedML 34 41 0 15 Jun 2021
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning Madhusanka Manimel Wadu S. Samarakoon M. Bennis 18 51 0 12 Jun 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis Baihe Huang Xiaoxiao Li Zhao Song Xin Yang FedML 31 16 0 11 May 2021
Convergence Analysis and System Design for Federated Learning over Wireless Networks Shuo Wan Jiaxun Lu Pingyi Fan Yunfeng Shao Chenghui Peng Khaled B. Letaief 44 54 0 30 Apr 2021
Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research Challenges and Future Trends Pavlos S. Bouzinis P. Diamantoulakis G. Karagiannidis 18 48 0 24 Apr 2021
Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis Zezhong Zhang Guangxu Zhu Rui-cang Wang Vincent K. N. Lau Kaibin Huang 35 31 0 20 Apr 2021
Decentralized Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities Yuben Qu Haipeng Dai Yan Zhuang Jiafa Chen Chao Dong Fan Wu Song Guo 24 72 0 15 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 45 402 0 05 Apr 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 39 128 0 31 Mar 2021
UAV Communications for Sustainable Federated Learning Viet Quoc Pham M. Zeng Rukhsana Ruby Thien Huynh-The W. Hwang 24 89 0 20 Mar 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations F. Lin Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi FedML 42 109 0 18 Mar 2021