Quantized Federated Learning under Transmission Delay and Outage Constraints

17 June 2021

Papers citing "Quantized Federated Learning under Transmission Delay and Outage Constraints"

28 / 28 papers shown

Title
Heterogeneity-Aware Client Sampling: A Unified Solution for Consistent Federated Learning Shudi Weng Chao Ren Ming Xiao Mikael Skoglund FedML 22 0 0 16 May 2025
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning Chongyang Tan Ruoqi Wen Rongpeng Li Zhifeng Zhao Ekram Hossain Honggang Zhang 7 0 0 16 May 2025
Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning Xianke Qiang Hongda Liu Xinran Zhang Zheng Chang Ying-Chang Liang FedML 42 0 0 12 Apr 2025
A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control Jinhao Ouyang Yuan Liu Hang Liu 36 0 0 02 Apr 2025
Biased Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi FedML 49 0 0 08 Mar 2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach Yansen Wang Wenkai Ji Jian Zhou Fu Xiao Tsung-Hui Chang 43 0 0 24 Feb 2025
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing Cui Zhang Wenjun Zhang Qiong Wu Pingyi Fan Qiang Fan Jiangzhou Wang Khaled B. Letaief 37 29 0 11 Jul 2024
Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design Linping Qu Yuyi Mao Shenghui Song Chi-Ying Tsui 44 0 0 26 Jun 2024
Digital versus Analog Transmissions for Federated Learning over Wireless Networks Jiacheng Yao Weihong Xu Zhaohui Yang Xiaohu You M. Bennis H. Vincent Poor 18 2 0 15 Feb 2024
Asynchronous Wireless Federated Learning with Probabilistic Client Selection Jiarong Yang Yuan Liu Fangjiong Chen Wen Chen Changle Li FedML 39 5 0 28 Nov 2023
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification Yiwei Li Chien-Wei Huang Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 29 1 0 30 Oct 2023
Over-the-Air Federated Learning and Optimization Jingyang Zhu Yuanming Shi Yong Zhou Chunxiao Jiang Wei Chen Khaled B. Letaief FedML 23 11 0 16 Oct 2023
G $^2$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering Hao Yu Chuan Ma Meng Liu Tianyu Du Ming Ding Tao Xiang Shouling Ji Xinwang Liu AAML FedML 38 12 0 08 Jun 2023
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee Shuai Wang Yanqing Xu Yanli Yuan Tony Q.S. Quek FedML 16 8 0 07 Jun 2023
Integrated Sensing, Computation, and Communication for UAV-assisted Federated Edge Learning Yao Tang Guangxu Zhu Wei Xu M. H. Cheung T. Lok Shuguang Cui 34 7 0 05 Jun 2023
Joint Compression and Deadline Optimization for Wireless Federated Learning Maojun Zhang Yong Li Dongzhu Liu Richeng Jin Guangxu Zhu Caijun Zhong Tony Q. S. Quek 32 5 0 06 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 35 4 0 09 Apr 2023
Making Batch Normalization Great in Federated Deep Learning Shitian Zhao Hong-You Chen Wei-Lun Chao FedML 24 10 0 12 Mar 2023
$z$ -SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning Zhiwei Tang Yanmeng Wang Tsung-Hui Chang FedML 27 14 0 06 Feb 2023
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret Sudeep Salgia Qing Zhao T. Gabay Kobi Cohen FedML 32 10 0 21 Jan 2023
Why Batch Normalization Damage Federated Learning on Non-IID Data? Yanmeng Wang Qingjiang Shi Tsung-Hui Chang FedML 18 33 0 08 Jan 2023
Time Minimization in Hierarchical Federated Learning Chang-rui Liu Terence Jie Chua Junfeng Zhao 52 13 0 07 Oct 2022
Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent Yicheng Chen Rick S. Blum Brian M. Sadler FedML 28 4 0 24 Sep 2022
Federated Stochastic Primal-dual Learning with Differential Privacy Yiwei Li Shuai Wang Tsung-Hui Chang Chong-Yung Chi FedML 17 7 0 26 Apr 2022
Wireless Quantized Federated Learning: A Joint Computation and Communication Design Pavlos S. Bouzinis P. Diamantoulakis G. Karagiannidis MQ FedML 31 31 0 11 Mar 2022
Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang FedML 21 31 0 20 Dec 2021
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks M. Salehi Ekram Hossain FedML 51 82 0 09 Dec 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 764 0 28 Sep 2019