Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation

29 October 2019

Albert Y. Zomaya

Vincent Gramoli

FedML

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Papers citing "Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation"

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Title
Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing Haosong Peng Yufeng Zhan Dihua Zhai Xiaopu Zhang Yuanqing Xia 33 1 0 14 Apr 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network Student Member Ieee Hongda Wu F. I. C. V. Ping Wang Aswartha Narayana FedML 49 1 0 16 Nov 2023
Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization Mariam Yahya S. Maghsudi S. Stańczak 21 3 0 31 Aug 2023
Faster Federated Learning with Decaying Number of Local SGD Steps Jed Mills Jia Hu Geyong Min FedML 30 7 0 16 May 2023
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Feng Shu Haitao Zhao Wen Chen Hongbo Zhu FedML 32 4 0 09 Apr 2023
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks Marc Katzef Andrew C. Cullen T. Alpcan C. Leckie Justin Kopacz 25 0 0 23 Mar 2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices Peichun Li Guoliang Cheng Xumin Huang Jiawen Kang Rong Yu Yuan Wu Miao Pan FedML 55 21 0 08 Jan 2023
Characterization of the Global Bias Problem in Aerial Federated Learning Ruslan Zhagypar N. Kouzayha Hesham Elsawy H. Dahrouj Tareq Y. Al-Naffouri 32 9 0 29 Dec 2022
Enhancing Federated Learning with spectrum allocation optimization and device selection Tinghao Zhang Kwok-Yan Lam Jun Zhao Feng-Qiang Li Huimei Han N. Jamil 33 11 0 27 Dec 2022
Social-Aware Clustered Federated Learning with Customized Privacy Preservation Yuntao Wang Zhou Su Yanghe Pan Tom H. Luan Ruidong Li Shui Yu FedML 31 18 0 25 Dec 2022
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality Xinyu Zhou Chang-rui Liu Junfeng Zhao 29 22 0 16 Nov 2022
Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP Shiva Raj Pokhrel Jinho Choi A. Walid 30 6 0 03 Nov 2022
Joint Optimization of Energy Consumption and Completion Time in Federated Learning Xinyu Zhou Jun Zhao Huimei Han C. Guet FedML 48 27 0 29 Sep 2022
A Fast Blockchain-based Federated Learning Framework with Compressed Communications Laizhong Cui Xiaoxin Su Yipeng Zhou FedML 22 23 0 12 Aug 2022
Over-the-Air Federated Edge Learning with Hierarchical Clustering Ozan Aygün M. Kazemi Deniz Gündüz T. Duman 29 5 0 19 Jul 2022
Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks Zhibin Wang Yong Zhou Yuanming Shi W. Zhuang 32 68 0 06 Jun 2022
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 28 398 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
Over-the-Air Federated Learning with Energy Harvesting Devices Ozan Aygün M. Kazemi Deniz Gündüz T. Duman FedML 31 12 0 25 May 2022
Federated Distillation based Indoor Localization for IoT Networks Yaya Etiabi Marwa Chafii El-Mehdi Amhoud FedML 43 15 0 23 May 2022
Client Selection and Bandwidth Allocation for Federated Learning: An Online Optimization Perspective Yun-Gyu Ji Zhoubin Kou Xiaoxiong Zhong Shenmin Zhang Hang Li Fan Yang 9 12 0 10 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
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 18 16 0 26 Mar 2022
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing Dinh C. Nguyen Seyyedali Hosseinalipour David J. Love P. Pathirana Christopher G. Brinton 34 47 0 18 Mar 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 23 27 0 07 Feb 2022
Fair and efficient contribution valuation for vertical federated learning Zhenan Fan Huang Fang Zirui Zhou Jian Pei M. Friedlander Yong Zhang TDI FedML 21 25 0 07 Jan 2022
Hierarchical Over-the-Air Federated Edge Learning Ozan Aygün M. Kazemi Deniz Gündüz T. Duman 16 25 0 21 Dec 2021
Optimal Rate Adaption in Federated Learning with Compressed Communications Laizhong Cui Xiaoxin Su Yipeng Zhou Jiangchuan Liu FedML 42 39 0 13 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 36 76 0 26 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 43 416 0 24 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 25 94 0 22 Oct 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 33 72 0 01 Aug 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 38 36 0 29 Jun 2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates Laizhong Cui Xiaoxin Su Yipeng Zhou Yi Pan FedML 38 36 0 10 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 42 54 0 30 Apr 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 42 40 0 19 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 38 401 0 05 Apr 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 13 29 0 01 Apr 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 34 128 0 31 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 37 109 0 18 Mar 2021
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning Canh T. Dinh N. H. Tran Tuan Dung Nguyen Wei Bao A. R. Balef B. Zhou Albert Y. Zomaya FedML 23 15 0 10 Dec 2020
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks M. Salehi Ekram Hossain FedML 51 82 0 09 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
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks Saurav Prakash S. Dhakal M. Akdeniz Yair Yona S. Talwar Salman Avestimehr N. Himayat FedML 14 92 0 12 Nov 2020
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 78 92 0 19 Oct 2020
Federated Learning with Nesterov Accelerated Gradient Zhengjie Yang Wei Bao Dong Yuan Nguyen H. Tran Albert Y. Zomaya FedML 19 29 0 18 Sep 2020
Fast-Convergent Federated Learning Hung T. Nguyen Vikash Sehwag Seyyedali Hosseinalipour Christopher G. Brinton M. Chiang H. Vincent Poor FedML 26 192 0 26 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 21 91 0 18 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