Communication-Efficient Federated Learning for Heterogeneous Edge
Devices Based on Adaptive Gradient Quantization

Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization

16 December 2022

Papers citing "Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization"

11 / 11 papers shown

Title
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning Phung Lai Xiaopeng Jiang Hai Phan Cristian Borcea K. Tran An M. Chen Vijaya Datta Mayyuri Ruoming Jin FedML MQ 61 0 0 17 Apr 2025
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis Zhijie Chen Qiaobo Li A. Banerjee FedML 35 0 0 11 Nov 2024
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning Wenxuan Zhou Zhihao Qu Shen-Huan Lyu Miao Cai Baoliu Ye 40 0 0 25 Aug 2024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization Zhe Li Bicheng Ying Zidong Liu Haibo Yang Haibo Yang FedML 59 3 0 24 May 2024
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey Feng Liang Zhen Zhang Haifeng Lu Victor C. M. Leung Yanyi Guo Xiping Hu GNN 34 6 0 09 Apr 2024
Workflow Optimization for Parallel Split Learning Joana Tirana Dimitra Tsigkari Georgios Iosifidis Dimitris Chatzopoulos 14 4 0 01 Feb 2024
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization Pengchao Han Shiqiang Wang Yang Jiao Jianwei Huang FedML 19 5 0 20 Dec 2023
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 25 3 0 04 Dec 2023
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization in Device Selection Strategy Zihao Zhao Yuzhu Mao Zhenpeng Shi Yang Liu Tian-Shing Lan Wenbo Ding Xiaoping Zhang 13 9 0 01 Aug 2023
Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing Hai M. Nguyen N. Chu Diep N. Nguyen D. Hoang Van-Dinh Nguyen Minh Hoàng Hà E. Dutkiewicz Marwan Krunz FedML 17 1 0 14 Nov 2022
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 165 760 0 28 Sep 2019