FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare

22 July 2019

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

50 / 184 papers shown

Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 54 0 0 08 May 2025
Federated learning, ethics, and the double black box problem in medical AI Joshua Hatherley Anders Søgaard Angela Ballantyne Ruben Pauwels FedML 58 0 0 29 Apr 2025
Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification Yue Li L. Zhang 34 0 0 16 Apr 2025
Federated Learning with Domain Shift Eraser Zehua Wang Zihui Wang Zihan Wang Xiaoliang Fan Cheng-Yu Wang FedML 60 0 0 17 Mar 2025
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 67 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 75 11 0 28 Feb 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities Zhibo Tian Ruijie Quan Fan Ma Kun Zhan Yi Yang 31 1 0 24 Jan 2025
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks Wenhan Dong Chao Lin Xinlei He Xinyi Huang Shengmin Xu PICV 83 0 0 02 Dec 2024
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices Kilian Pfeiffer Mohamed Aboelenien Ahmed R. Khalili J. Henkel 43 0 0 12 Nov 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 48 1 0 15 Sep 2024
MLLM-FL: Multimodal Large Language Model Assisted Federated Learning on Heterogeneous and Long-tailed Data Jianyi Zhang H. Yang Ang Li Xin Guo Pu Wang Haiming Wang Yiran Chen Hai Li 39 2 0 09 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning Shenghong Dai Jy-yong Sohn Yicong Chen S. Alam Ravikumar Balakrishnan Suman Banerjee N. Himayat Kangwook Lee FedML 75 2 0 03 Sep 2024
FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions Darpit Dave Kathan Vyas Jagadish K. Jayagopal Alfredo Garcia M. Erraguntla Mark Lawley FedML 31 0 0 25 Aug 2024
An Adaptive System for Wearable Devices to Detect Stress Using Physiological Signals Gelei Xu Ruiyang Qin Zhi Zheng Yiyu Shi 39 0 0 21 Jul 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 26 0 0 17 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community Yan Liu Bin Guo Nuo Li Yasan Ding Zhouyangzi Zhang Zhiwen Yu 50 1 0 09 Jul 2024
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees Steffen Schotthöfer M. P. Laiu FedML 40 4 0 25 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 34 1 0 16 Jun 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 43 5 0 16 Jun 2024
FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning Jiaxing Qi Zhongzhi Luan Shaohan Huang Carol J. Fung Hailong Yang Depei Qian 32 12 0 12 Jun 2024
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients Weijun Li Qiongkai Xu Mark Dras PILM 32 1 0 03 Jun 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 80 3 0 25 May 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review Md. Shahin Ali M. Ahsan Lamia Tasnim Sadia Afrin Koushik Biswas Maruf Md. Sajjad Hossain Md Mahfuz Ahmed Ronok Hashan Md. Khairul Islam Shivakumar Raman 43 5 0 22 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang M. C. Gursoy Senem Velipasalar 43 0 0 15 May 2024
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis Luyuan Xie Manqing Lin Tianyu Luan Cong Li Yuejian Fang Qingni Shen Zhonghai Wu 36 9 0 10 May 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning Yanli Li Jehad Ibrahim Huaming Chen Dong Yuan Kim-Kwang Raymond Choo 32 0 0 03 May 2024
Trust Driven On-Demand Scheme for Client Deployment in Federated Learning M. Chahoud Azzam Mourad Hadi Otrok Jamal Bentahar Mohsen Guizani 23 1 0 01 May 2024
Let's Focus: Focused Backdoor Attack against Federated Transfer Learning Marco Arazzi Stefanos Koffas Antonino Nocera S. Picek AAML FedML 43 3 0 30 Apr 2024
Personalized Federated Learning via Sequential Layer Expansion in Representation Learning Jaewon Jang Bonjun Choi FedML 50 0 0 27 Apr 2024
Federated Transfer Component Analysis Towards Effective VNF Profiling Xunzheng Zhang Shadi Moazzeni Juan Marcelo Parra Ullauri R. Nejabati Dimitra Simeonidou 45 1 0 26 Apr 2024
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial Yahya Shahsavari O. A. Dambri Yaser Baseri A. Hafid Dimitrios Makrakis OOD 54 2 0 15 Apr 2024
Federated Distillation: A Survey Lin Li Jianping Gou Baosheng Yu Lan Du Zhang Yiand Dacheng Tao DD FedML 59 4 0 02 Apr 2024
TablePuppet: A Generic Framework for Relational Federated Learning Lijie Xu Chulin Xie Yiran Guo Gustavo Alonso Bo-wen Li Guoliang Li Wei Wang Wentao Wu Ce Zhang FedML 39 0 0 23 Mar 2024
Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity -- A Review Xiaozhou Ye Kouichi Sakurai Nirmal Nair Kevin I-Kai Wang 20 7 0 12 Mar 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu 32 0 0 07 Mar 2024
Auditable Homomorphic-based Decentralized Collaborative AI with Attribute-based Differential Privacy Lo-Yao Yeh Sheng-Po Tseng Chia-Hsun Lu Chih-Ya Shen 24 1 0 28 Feb 2024
Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection Ziyu Wang Zhongqi Yang Iman Azimi Amir M. Rahmani 24 18 0 16 Feb 2024
Personalized Federated Learning for Statistical Heterogeneity Muhammad Firdaus Kyung-Hyune Rhee FedML 12 1 0 07 Feb 2024
Transfer Learning in Human Activity Recognition: A Survey Sourish Gunesh Dhekane Thomas Ploetz MU AI4TS 38 34 0 18 Jan 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data Zikai Xiao Zihan Chen Liyinglan Liu Yang Feng Jian Wu Wanlu Liu Qiufeng Wang Howard H. Yang Zuo-Qiang Liu FedML 39 6 0 17 Jan 2024
FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning Jie Shen Shusen Yang Cong Zhao Xuebin Ren Peng Zhao Yuqian Yang Qing Han Shuaijun Wu FedML 22 9 0 29 Dec 2023
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx Trung-Hieu Hoang Jordan D. Fuhrman Ravi K. Madduri Miao Li Pranshu Chaturvedi ... Kibaek Kim Minseok Ryu Ryan Chard Eliu A. Huerta Maryellen L. Giger 28 5 0 14 Dec 2023
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data Jiangming Shi Shanshan Zheng Xiangbo Yin Yang Lu Yuan Xie Yanyun Qu VLM FedML 49 10 0 14 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 76 33 0 25 Nov 2023
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence Shu Zheng Tiandi Ye Xiang Li Ming Gao FedML 10 1 0 21 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML CLL 26 29 0 13 Nov 2023
FedOpenHAR: Federated Multi-Task Transfer Learning for Sensor-Based Human Activity Recognition Egemen Isgüder Ozlem Durmaz Incel FedML 19 0 0 13 Nov 2023
AccEPT: An Acceleration Scheme for Speeding Up Edge Pipeline-parallel Training Yuhao Chen Yuxuan Yan Qianqian Yang Yuanchao Shu Shibo He Zhiguo Shi Jiming Chen 37 0 0 10 Nov 2023
A Comprehensive Study on Model Initialization Techniques Ensuring Efficient Federated Learning Ishmeet Kaur Adwaita Janardhan Jadhav AIFin FedML 20 2 0 31 Oct 2023