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FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection

1 July 2024

Author Contacts:

lelegjx@bupt.edu.cn liboyu@bupt.edu.cn xiaoqiqin@bupt.edu.cn liyixuan@tyut.edu.cn lil03@pcl.ac.cn houyanzhao@bupt.edu.cn mpan2@uh.edu

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Papers citing "FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection"

23 / 23 papers shown

Title
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction Samiul Alam Luyang Liu Ming Yan Mi Zhang 157 150 0 03 Dec 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 55 75 0 05 Jan 2022
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling Bing Luo Wenli Xiao Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 81 176 0 21 Dec 2021
Mobile-Former: Bridging MobileNet and Transformer Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Xiaoyi Dong Lu Yuan Zicheng Liu ViT 258 488 0 12 Aug 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 60 193 0 12 May 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 122 112 0 04 Jan 2021
To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices Liang Li Dian Shi Ronghui Hou Hui Li Miao Pan Zhu Han FedML 62 151 0 22 Dec 2020
Oort: Efficient Federated Learning via Guided Participant Selection Fan Lai Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML OODD 119 275 0 12 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 96 558 0 03 Oct 2020
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness Jinke Ren Yinghui He Dingzhu Wen Guanding Yu Kaibin Huang Dongning Guo 88 196 0 01 Apr 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 123 173 0 28 Jan 2020
Federated Learning for Ranking Browser History Suggestions Florian Hartmann Sunah Suh Arkadiusz Komarzewski Tim Smith I. Segall FedML 51 55 0 26 Nov 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 145 2,334 0 04 Jul 2019
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent Shuheng Shen Linli Xu Jingchang Liu Xianfeng Liang Yifei Cheng ODL FedML 46 24 0 28 Jun 2019
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 69 643 0 30 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 147 1,421 0 03 Dec 2018
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training Youjie Li Hang Qiu Songze Li A. Avestimehr Nam Sung Kim Alex Schwing FedML 64 104 0 08 Nov 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning Tianyi Chen G. Giannakis Tao Sun W. Yin 55 298 0 25 May 2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge Takayuki Nishio Ryo Yonetani FedML 120 1,404 0 23 Apr 2018
TicTac: Accelerating Distributed Deep Learning with Communication Scheduling Sayed Hadi Hashemi Sangeetha Abdu Jyothi R. Campbell 41 197 0 08 Mar 2018
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning W. Wen Cong Xu Feng Yan Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 140 989 0 22 May 2017
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 153 7,486 0 24 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016