Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

23 April 2018

Papers citing "Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge"

50 / 411 papers shown

Title
Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction Jingxin Li Toktam Mahmoodi H. Lam FedML 29 2 0 16 Feb 2023
FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks Jiajun Wu Steve Drew Jiayu Zhou 13 6 0 14 Feb 2023
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 33 9 0 29 Jan 2023
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence Yong Xiao Xiaohan Zhang Guangming Shi Marwan Krunz Diep N. Nguyen D. Hoang 29 15 0 26 Jan 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association Qiong Wu Xu Chen Ouyang Tao Zhi Zhou Xiaoxi Zhang Shusen Yang Junshan Zhang 37 44 0 16 Jan 2023
Federated Learning for Energy Constrained IoT devices: A systematic mapping study Rachid El Mokadem Yann Ben Maissa Zineb El Akkaoui 26 8 0 09 Jan 2023
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
Holistic Network Virtualization and Pervasive Network Intelligence for 6G Xuemin Shen Shen Jie Gao Wen Wu Mushu Li Conghao Zhou W. Zhuang 35 234 0 02 Jan 2023
Graph Federated Learning for CIoT Devices in Smart Home Applications Arash Rasti-Meymandi S. M. Sheikholeslami J. Abouei Konstantinos N. Plataniotis FedML 27 18 0 29 Dec 2022
CC-FedAvg: Computationally Customized Federated Averaging Hao Zhang Tingting Wu Siyao Cheng Jie Liu FedML 18 5 0 28 Dec 2022
Enhancing Federated Learning with spectrum allocation optimization and device selection Tinghao Zhang Kwok-Yan Lam Jun Zhao Feng-Qiang Li Huimei Han N. Jamil 33 11 0 27 Dec 2022
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Yong-Jin Liu Weiliang He Lanju Kong Fangzhao Wu Y. Jiang Li-zhen Cui FedML 29 60 0 27 Dec 2022
Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning Zhida Jiang Yang Xu Hong-Ze Xu Zhiyuan Wang Chen Qian 20 9 0 19 Dec 2022
Federated Learning with Flexible Control Shiqiang Wang Jake B. Perazzone Mingyue Ji Kevin S. Chan FedML 30 17 0 16 Dec 2022
Federated Few-Shot Learning for Mobile NLP Dongqi Cai Shangguang Wang Yaozong Wu F. Lin Mengwei Xu FedML 13 12 0 12 Dec 2022
Unexpectedly Useful: Convergence Bounds And Real-World Distributed Learning F. Malandrino C. Chiasserini FedML 22 0 0 05 Dec 2022
PiPar: Pipeline Parallelism for Collaborative Machine Learning Zihan Zhang Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 43 3 0 01 Dec 2022
MDA: Availability-Aware Federated Learning Client Selection Amin Eslami Abyane Steve Drew Hadi Hemmati FedML 18 5 0 25 Nov 2022
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning Ji Liu Juncheng Jia Beichen Ma Chen Zhou Jingbo Zhou Yang Zhou H. Dai Dejing Dou FedML 38 24 0 24 Nov 2022
Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices Shahryar Zehtabi Seyyedali Hosseinalipour Christopher G. Brinton FedML 29 6 0 23 Nov 2022
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training Quan Nguyen Hieu H. Pham Kok-Seng Wong Phi Le Nguyen Truong Thao Nguyen Minh N. Do FedML 27 7 0 20 Nov 2022
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design Yuchang Sun Jiawei Shao Yuyi Mao Songze Li Jun Zhang FedML 24 8 0 08 Nov 2022
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 37 118 0 03 Nov 2022
FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices O. Wehbi S. Arisdakessian Omar Abdel Wahab Hadi Otrok Safa Otoum Azzam Mourad Mohsen Guizani FedML 15 11 0 31 Oct 2022
ModularFed: Leveraging Modularity in Federated Learning Frameworks Mohamad Arafeh Hadi Otrok Hakima Ould-Slimane Azzam Mourad C. Talhi Ernesto Damiani 30 19 0 31 Oct 2022
Local Model Reconstruction Attacks in Federated Learning and their Uses Ilias Driouich Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML FedML 36 2 0 28 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 64 32 0 24 Oct 2022
Investigating Neuron Disturbing in Fusing Heterogeneous Neural Networks Biao Zhang Shuqin Zhang FedML MoMe 26 0 0 24 Oct 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning Liang Yu Xiang Sun Rana Albelaihi Chen Yi FedML 32 13 0 19 Oct 2022
Aergia: Leveraging Heterogeneity in Federated Learning Systems Bart Cox L. Chen Jérémie Decouchant FedML 35 11 0 12 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 30 58 0 10 Oct 2022
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction Jianyi Zhang Ang Li Minxue Tang Jingwei Sun Xiang Chen Fan Zhang Chang Chen Yiran Chen H. Li FedML 13 42 0 30 Sep 2022
A Snapshot of the Frontiers of Client Selection in Federated Learning Gergely Németh M. Lozano Novi Quadrianto Nuria Oliver FedML 110 14 0 27 Sep 2022
The Cost of Training Machine Learning Models over Distributed Data Sources Elia Guerra F. Wilhelmi M. Miozzo Paolo Dini FedML 30 20 0 15 Sep 2022
Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources Dongyuan Su Yipeng Zhou Laizhong Cui FedML 11 12 0 05 Sep 2022
To Store or Not? Online Data Selection for Federated Learning with Limited Storage Chen Gong Zhenzhe Zheng Yunfeng Shao Bingshuai Li Fan Wu Guihai Chen 34 16 0 01 Sep 2022
FedComm: Understanding Communication Protocols for Edge-based Federated Learning Gary Cleland Di Wu R. Ullah Blesson Varghese 27 6 0 18 Aug 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion Duy Phuong Nguyen Sixing Yu J. P. Muñoz Ali Jannesari FedML 21 12 0 16 Aug 2022
An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation Chenhao Xu Youyang Qu Tom H. Luan Peter W. Eklund Yong Xiang Longxiang Gao 30 34 0 15 Aug 2022
Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets Zhipeng Cheng Xuwei Fan Minghui Liwang Ning Chen Xianbin Wang FedML 19 4 0 08 Aug 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 59 60 0 02 Aug 2022
Accelerating Vertical Federated Learning Dongqi Cai Tao Fan Yan Kang Lixin Fan Mengwei Xu Shangguang Wang Qiang Yang FedML 19 7 0 23 Jul 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 31 61 0 20 Jul 2022
Study of the performance and scalability of federated learning for medical imaging with intermittent clients Judith Sáinz-Pardo Díaz Á. García FedML OOD 26 51 0 18 Jul 2022
FedSS: Federated Learning with Smart Selection of clients Ammar Tahir Yongzhou Chen Prashanti Nilayam FedML 13 4 0 10 Jul 2022
A Survey on Participant Selection for Federated Learning in Mobile Networks Behnaz Soltani Venus Haghighi A. Mahmood Quan.Z Sheng Lina Yao FedML 36 25 0 08 Jul 2022
FedHeN: Federated Learning in Heterogeneous Networks D. A. E. Acar Venkatesh Saligrama FedML 16 1 0 07 Jul 2022
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity Guang-Ming Li Yue Hu Miao Zhang Ji Liu Quanjun Yin Yong Peng Dejing Dou FedML 19 39 0 21 Jun 2022
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 27 24 0 21 Jun 2022
Pisces: Efficient Federated Learning via Guided Asynchronous Training Zhifeng Jiang Wei Wang Baochun Li Bo-wen Li FedML 27 24 0 18 Jun 2022