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Fair Concurrent Training of Multiple Models in Federated Learning

22 April 2024

Papers citing "Fair Concurrent Training of Multiple Models in Federated Learning"

21 / 21 papers shown

Title
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning Haoran Zhang Zejun Gong Zekai Li Marie Siew Carlee Joe-Wong Rachid El-Azouzi 138 0 0 07 Apr 2025
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 122 2 0 24 Oct 2024
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues Yunming Liao Yang Xu Hongli Xu Zhiwei Yao Liusheng Huang C. Qiao FedML 66 8 0 02 Oct 2024
FedAST: Federated Asynchronous Simultaneous Training Baris Askin Pranay Sharma Carlee Joe-Wong Gauri Joshi 80 2 0 01 Jun 2024
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation Yunming Liao Yang Xu Hong-Ze Xu Lun Wang Zhiwei Yao C. Qiao FedML MoMe 70 11 0 22 Nov 2023
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 84 24 0 24 Nov 2022
FedRule: Federated Rule Recommendation System with Graph Neural Networks Yuhang Yao Mohammad Mahdi Kamani Zhongwei Cheng Lin Chen Carlee Joe-Wong Tianqiang Liu 43 17 0 13 Nov 2022
FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation Ming Hu Peiheng Zhou Zhihao Yue Zhiwei Ling Yihao Huang Anran Li Yang Liu Xiang Lian Mingsong Chen FedML 68 14 0 15 Oct 2022
Multi-Model Federated Learning with Provable Guarantees Neelkamal Bhuyan Sharayu Moharir Gauri Joshi FedML 59 15 0 09 Jul 2022
Multi-Model Federated Learning Neelkamal Bhuyan Sharayu Moharir FedML 52 21 0 07 Jan 2022
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating Yichen Ruan Carlee Joe-Wong FedML 85 95 0 11 Dec 2021
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Quoc-Viet Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre Won Joo Hwang FedML 73 551 0 16 Nov 2021
Fairness-aware Crowdsourcing of IoT Energy Services Abdallah Lakhdari A. Bouguettaya CVBM 57 13 0 11 Nov 2021
FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism Jiasi Weng Jian Weng Hongwei Huang Chengjun Cai Cong Wang FedML 42 28 0 19 Dec 2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks Minh N. H. Nguyen N. H. Tran Y. Tun Zhu Han Choong Seon Hong FedML 72 50 0 25 Nov 2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning Wenchao Xia Tony Q.S. Quek Kun Guo Wanli Wen Howard H. Yang Hongbo Zhu FedML 103 222 0 05 Jul 2020
Fair Resource Allocation in Federated Learning Tian Li Maziar Sanjabi Ahmad Beirami Virginia Smith FedML 190 804 0 25 May 2019
Fair Task Allocation in Crowdsourced Delivery Fuat Basık B. Gedik Hakan Ferhatosmanoglu Kun-Lung Wu 40 47 0 09 Jul 2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge Takayuki Nishio Ryo Yonetani FedML 122 1,407 0 23 Apr 2018
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 605 2,240 0 25 Jul 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,593 0 17 Feb 2016