To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices

22 December 2020

Papers citing "To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices"

21 / 21 papers shown

Title
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection Jiaxiang Geng Boyu Li Xiaoqi Qin Yixuan Li Liang Li Yanzhao Hou Miao Pan FedML 42 0 0 01 Jul 2024
Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client Jun Xia Yi Zhang Yiyu Shi 33 1 0 13 May 2024
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling Huai-an Su Jiaxiang Geng Liang Li Xiaoqi Qin Yanzhao Hou Xin Fu Miao Pan Miao Pan 50 1 0 01 May 2024
Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes Xiaoxin Su Yipeng Zhou Laizhong Cui John C. S. Lui Jiangchuan Liu FedML 41 1 0 06 Feb 2024
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices Peichun Li Guoliang Cheng Xumin Huang Jiawen Kang Rong Yu Yuan Wu Miao Pan FedML 55 21 0 08 Jan 2023
Social-Aware Clustered Federated Learning with Customized Privacy Preservation Yuntao Wang Zhou Su Yanghe Pan Tom H. Luan Ruidong Li Shui Yu FedML 39 18 0 25 Dec 2022
Federated Learning with Flexible Control Shiqiang Wang Jake B. Perazzone Mingyue Ji Kevin S. Chan FedML 30 17 0 16 Dec 2022
Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization Heting Liu Fang He Guohong Cao FedML MQ 35 24 0 16 Dec 2022
Joint Optimization of Energy Consumption and Completion Time in Federated Learning Xinyu Zhou Jun Zhao Huimei Han C. Guet FedML 51 27 0 29 Sep 2022
Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges N. Shalavi Giovanni Perin Andrea Zanella M. Rossi 29 6 0 28 Sep 2022
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption L. Pilla 26 15 0 13 Sep 2022
Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation Liang Li Chenpei Huang Dian Shi Hao Wang Xiangwei Zhou Minglei Shu Miao Pan FedML 49 9 0 15 Aug 2022
A Fast Blockchain-based Federated Learning Framework with Compressed Communications Laizhong Cui Xiaoxin Su Yipeng Zhou FedML 22 23 0 12 Aug 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 34 61 0 20 Jul 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 45 31 0 30 May 2022
Towards Communication-Learning Trade-off for Federated Learning at the Network Edge Jian-ji Ren Wanli Ni Hui Tian FedML 23 15 0 27 May 2022
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing Peichun Li Xumin Huang Miao Pan Rong Yu 39 15 0 11 Nov 2021
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices Pavana Prakash Jiahao Ding Maoqiang Wu Minglei Shu Rong Yu Miao Pan FedML 45 3 0 01 Nov 2021
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 22 6 0 07 Jul 2021
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices Dian Shi Liang Li Rui Chen Pavana Prakash Miao Pan Yuguang Fang 38 44 0 13 Jan 2021
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 1,688 0 14 Apr 2018