Fast Federated Learning by Balancing Communication Trade-Offs

23 May 2021

Papers citing "Fast Federated Learning by Balancing Communication Trade-Offs"

20 / 20 papers shown

Title
Quantized and Asynchronous Federated Learning Tomàs Ortega Hamid Jafarkhani FedML 82 1 0 30 Sep 2024
Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication Compression Zhenxiao Zhang Zhidong Gao Yuanxiong Guo Yanmin Gong 104 2 0 06 Sep 2024
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 135 38 0 11 Jul 2024
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning Jiajun Song Jiajun Luo Rongwei Lu Shuzhao Xie Bin Chen Zhi Wang FedML 51 0 0 06 Jul 2024
Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning Chong Yu Shuaiqi Shen Shiqiang Wang Kuan Zhang Hai Zhao FedML 80 4 0 15 Apr 2024
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks Jiaming Yan Jianchun Liu Shilong Wang Hong-Ze Xu Haifeng Liu Jianhua Zhou FedML 75 3 0 04 Dec 2023
REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning over Mobile Devices Y. Li X. Qin J. Geng Ruoxin Chen Y. Hou Yonghai Gong M. Pan Peng Zhang 70 1 0 24 Sep 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary B. Charles Nicole Mitchell Krishna Pillutla Michael Reneer Zachary Garrett FedML AI4CE 89 31 0 18 Jul 2023
GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems Yangchen Li Ying Cui Vincent K. N. Lau FedML 136 4 0 13 Jun 2023
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning Xiaojin Zhang Yan Kang Lixin Fan Kai Chen Qiang Yang FedML 67 6 0 28 May 2023
Theoretically Principled Federated Learning for Balancing Privacy and Utility Xiaojin Zhang Wenjie Li Kai Chen Shutao Xia Qian Yang FedML 58 9 0 24 May 2023
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion Xiaojin Zhang Kai Chen Qian Yang FedML 75 5 0 07 May 2023
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning Yan Kang Hanlin Gu Xingxing Tang Yuanqin He Yuzhu Zhang Jinnan He Yuxing Han Lixin Fan Kai Chen Qiang Yang FedML 130 19 0 29 Apr 2023
MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles Bowen Xie Yuxuan Sun Sheng Zhou Z. Niu Yang Xu Jingran Chen Deniz Gündüz 62 12 0 07 Dec 2022
Trading Off Privacy, Utility and Efficiency in Federated Learning Xiaojin Zhang Yan Kang Kai Chen Lixin Fan Qiang Yang FedML 128 56 0 01 Sep 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 119 64 0 02 Aug 2022
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 90 32 0 14 Oct 2021
FedKD: Communication Efficient Federated Learning via Knowledge Distillation Chuhan Wu Fangzhao Wu Lingjuan Lyu Yongfeng Huang Xing Xie FedML 88 394 0 30 Aug 2021
Hierarchical Federated Learning with Quantization: Convergence Analysis and System Design Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief FedML 70 87 0 26 Mar 2021
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation Lushan Song Guopeng Lin Jiaxuan Wang Haoqi Wu Wenqiang Ruan Weili Han 155 9 0 06 Dec 2020