Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective

9 April 2020

Papers citing "Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective"

33 / 33 papers shown

Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 51 0 0 08 May 2025
Efficient Federated Split Learning for Large Language Models over Communication Networks Kai Zhao Zhaohui Yang 35 0 0 20 Apr 2025
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning M. Chahoud Hani Sami Azzam Mourad Hadi Otrok Jamal Bentahar Mohsen Guizani 29 0 0 12 May 2024
Federated Learning Priorities Under the European Union Artificial Intelligence Act Herbert Woisetschläger Alexander Erben Bill Marino Shiqiang Wang Nicholas D. Lane R. Mayer Hans-Arno Jacobsen 23 15 0 05 Feb 2024
Strategic Client Selection to Address Non-IIDness in HAPS-enabled FL Networks A. Farajzadeh Animesh Yadav H. Yanikomeroglu 28 0 0 10 Jan 2024
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles Narisu Cha Long Chang 25 0 0 06 Jan 2024
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout Zhiying Feng Xu Chen Qiong Wu Wenhua Wu Xiaoxi Zhang Qian Huang FedML 33 2 0 31 Aug 2023
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity Xu Han Jun Li Wen Chen Zhen Mei Kang Wei Ming Ding H. Vincent Poor 23 2 0 04 Aug 2023
Deep Equilibrium Models Meet Federated Learning A. Gkillas D. Ampeliotis K. Berberidis FedML 29 3 0 29 May 2023
V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection Rui Song Lingjuan Lyu Wei Jiang Andreas Festag Alois C. Knoll 37 14 0 19 May 2023
Dynamic Scheduling for Federated Edge Learning with Streaming Data Chung-Hsuan Hu Zheng Chen Erik G. Larsson 24 4 0 02 May 2023
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer Md Zarif Hossain Ahmed Imteaj FedML 24 5 0 02 May 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 38 0 0 28 Mar 2023
Enhancing Federated Learning with spectrum allocation optimization and device selection Tinghao Zhang Kwok-Yan Lam Jun Zhao Feng-Qiang Li Huimei Han N. Jamil 21 11 0 27 Dec 2022
Towards Practical Few-shot Federated NLP Dongqi Cai Yaozong Wu Haitao Yuan Shangguang Wang F. Lin Mengwei Xu FedML 23 6 0 01 Dec 2022
ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme M. Chahoud Hani Sami Azzam Mourad Safa Otoum Hadi Otrok Jamal Bentahar Mohsen Guizani 16 22 0 05 Nov 2022
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 32 115 0 03 Nov 2022
Random Orthogonalization for Federated Learning in Massive MIMO Systems Xizixiang Wei Cong Shen Jing Yang H. Vincent Poor 47 14 0 18 Oct 2022
Joint Optimization of Energy Consumption and Completion Time in Federated Learning Xinyu Zhou Jun Zhao Huimei Han C. Guet FedML 43 27 0 29 Sep 2022
On the Convergence of Multi-Server Federated Learning with Overlapping Area Zhe Qu Xingyu Li Jie Xu Bo Tang Zhuo Lu Yao-Hong Liu FedML 45 14 0 16 Aug 2022
Accelerating Vertical Federated Learning Dongqi Cai Tao Fan Yan Kang Lixin Fan Mengwei Xu Shangguang Wang Qiang Yang FedML 16 7 0 23 Jul 2022
Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks Zhibin Wang Yong Zhou Yuanming Shi W. Zhuang 25 67 0 06 Jun 2022
Towards Communication-Learning Trade-off for Federated Learning at the Network Edge Jian-ji Ren Wanli Ni Hui Tian FedML 15 15 0 27 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 21 20 0 26 Apr 2022
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection Guangyuan Shen D. Gao Libin Yang Fang Zhou Duanxiao Song Wei Lou Shirui Pan FedML 12 8 0 15 Jan 2022
Context-Aware Online Client Selection for Hierarchical Federated Learning Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lu Yao-Hong Liu 26 61 0 02 Dec 2021
Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT Shunpu Tang Lunyuan Chen Junjuan Xia Lisheng Fan A. Nallanathan 30 102 0 28 Oct 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 24 74 0 23 Jul 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 23 401 0 05 Apr 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
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 28 139 0 07 Dec 2020
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 1,685 0 14 Apr 2018