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FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare

22 July 2019

Papers citing "FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare"

20 / 20 papers shown

Title
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Luyuan Xie Tianyu Luan Wenyuan Cai Guochen Yan Zhaoyu Chen Nan Xi Yuejian Fang Qingni Shen Zhonghai Wu Junsong Yuan FedML 282 0 0 13 Mar 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients Leming Shen Qiang Yang Kaiyan Cui Yuanqing Zheng Xiao-Yong Wei Jianwei Liu Jinsong Han FedML 267 11 0 28 Feb 2025
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices Kilian Pfeiffer Mohamed Aboelenien Ahmed R. Khalili J. Henkel 61 1 0 12 Nov 2024
Easy Transfer Learning By Exploiting Intra-domain Structures Jindong Wang Yiqiang Chen Han Yu Meiyu Huang Qiang Yang 50 132 0 02 Apr 2019
SecureBoost: A Lossless Federated Learning Framework Kewei Cheng Tao Fan Yilun Jin Yang Liu Tianjian Chen Dimitrios Papadopoulos Qiang Yang FedML 105 582 0 25 Jan 2019
Balanced Distribution Adaptation for Transfer Learning Jindong Wang Yiqiang Chen Shuji Hao Wenjie Feng Zhiqi Shen 51 467 0 02 Jul 2018
Cross-position Activity Recognition with Stratified Transfer Learning Yiqiang Chen Jindong Wang Meiyu Huang Han Yu 61 74 0 26 Jun 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 81 396 0 22 Feb 2018
Stratified Transfer Learning for Cross-domain Activity Recognition Jindong Wang Yiqiang Chen Lisha Hu Xiaohui Peng Philip S. Yu 59 227 0 25 Dec 2017
Differentially Private Federated Learning: A Client Level Perspective Robin C. Geyer T. Klein Moin Nabi FedML 136 1,300 0 20 Dec 2017
Deep Learning for Sensor-based Activity Recognition: A Survey Jindong Wang Yiqiang Chen Shuji Hao Xiaohui Peng Lisha Hu HAI 46 1,636 0 12 Jul 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 159 1,813 0 30 May 2017
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 160 3,781 0 23 Nov 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 145 1,906 0 08 Oct 2016
Beyond Sharing Weights for Deep Domain Adaptation Artem Rozantsev Mathieu Salzmann Pascal Fua 59 443 0 21 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,593 0 17 Feb 2016
Return of Frustratingly Easy Domain Adaptation Baochen Sun Jiashi Feng Kate Saenko OOD 83 1,841 0 17 Nov 2015
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell OOD 174 2,605 0 10 Dec 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 234 8,348 0 06 Nov 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 242 6,041 0 26 Sep 2014