Federated Learning for Smart Healthcare: A Survey

16 November 2021

Dinh C. Nguyen

Viet Quoc Pham

P. Pathirana

Ming Ding

Aruna Seneviratne

Papers citing "Federated Learning for Smart Healthcare: A Survey"

49 / 49 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 47 0 0 08 May 2025
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey J. H. Liu Yao Du Kun Yang Yan Wang Xiping Hu Z. Wang Y. Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 31 0 0 03 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
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning Chengui Xiao Songbai Liu FedML 63 0 0 29 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 29 0 0 05 Apr 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection Jiahao Xu Zikai Zhang Rui Hu AAML FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 142 0 0 11 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 52 0 0 05 Mar 2025
FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning D. Domini G. Aguzzi L. Esterle Mirko Viroli FedML 76 0 0 12 Feb 2025
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Yichen Li Yuying Wang Tianzhe Xiao Haozhao Wang Yining Qi Ruixuan Li 114 1 0 18 Dec 2024
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Siddhant Dutta Iago Leal de Freitas Pedro Maciel Xavier Claudio Miceli de Farias David E. Bernal Neira AI4CE FedML 71 0 0 23 Nov 2024
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts Mustofa Ahmed Abdul Muntakim Nawrin Tabassum Mohammad Asifur Rahim Faisal Muhammad Shah FedML 18 0 0 17 Oct 2024
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 32 0 0 03 Oct 2024
Federated Learning with Label-Masking Distillation Jianghu Lu Shikun Li Kexin Bao Pengju Wang Zhenxing Qian Shiming Ge FedML 27 10 0 20 Sep 2024
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection R. Gayathri Atul Sajjanhar Md Palash Uddin Yong Xiang FedML 11 0 0 19 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai J. Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 73 0 0 09 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 35 4 0 02 Sep 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang Jin Zhong Hanlin Gu Zhongqi Lu Xingxing Tang Gang Dai Shuangping Huang Lixin Fan Qiang Yang DiffM 35 7 0 02 Sep 2024
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 33 0 0 09 Aug 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 36 0 0 23 Jul 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning Yanli Li Jehad Ibrahim Huaming Chen Dong Yuan Kim-Kwang Raymond Choo 22 0 0 03 May 2024
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction Zifan Zhang Minghong Fang Jiayuan Huang Yuchen Liu AAML 31 7 0 22 Apr 2024
Fair Concurrent Training of Multiple Models in Federated Learning Marie Siew Haoran Zhang Jong-Ik Park Yuezhou Liu Yichen Ruan Lili Su Stratis Ioannidis Edmund Yeh Carlee Joe-Wong FedML 23 3 0 22 Apr 2024
An Explainable AI Framework for Artificial Intelligence of Medical Things Al Amin Kamrul Hasan Saleh Zein-Sabatto D. Chimba Imtiaz Ahmed Tariqul Islam 11 8 0 07 Mar 2024
Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning Binbin Huang Hailiang Zhao Lingbin Wang Wenzhuo Qian Yuyu Yin Shuiguang Deng 24 0 0 09 Feb 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels Jichang Li Guanbin Li Hui Cheng Zicheng Liao Yizhou Yu FedML 27 14 0 19 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 26 7 0 07 Dec 2023
Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor Jinqian Chen Jihua Zhu Qinghai Zheng 30 3 0 05 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 25 19 0 27 Nov 2023
A Survey for Federated Learning Evaluations: Goals and Measures Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 17 21 0 23 Aug 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain Mirza Farhan Bin Tarek Rahmatollah Beheshti FedML 13 20 0 19 May 2023
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis Dachao Lin Yuze Han Haishan Ye Zhihua Zhang 17 11 0 15 Apr 2023
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing Ervin Moore Ahmed Imteaj S. Rezapour M. Amini 27 18 0 24 Mar 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects Qun Li Chandra Thapa Lawrence Ong Yifeng Zheng Hua Ma S. Çamtepe Anmin Fu Yan Gao FedML 21 10 0 03 Feb 2023
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges T. Shaik Xiaohui Tao Niall Higgins Lin Li R. Gururajan Xujuan Zhou U. Acharya 8 183 0 19 Jan 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 22 31 0 01 Jan 2023
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 13 92 0 15 Nov 2022
Federated Learning Using Variance Reduced Stochastic Gradient for Probabilistically Activated Agents M. Rostami S. S. Kia FedML 16 8 0 25 Oct 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 27 90 0 05 Aug 2022
Robust Quantity-Aware Aggregation for Federated Learning Jingwei Yi Fangzhao Wu Huishuai Zhang Bin Zhu Tao Qi Guangzhong Sun Xing Xie FedML 14 2 0 22 May 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 9 118 0 18 Mar 2022
Efficient Client Contribution Evaluation for Horizontal Federated Learning Jie Zhao Xinghua Zhu Jianzong Wang Jing Xiao FedML 24 28 0 26 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 784 0 15 Feb 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 59 57 0 09 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 943 0 03 Feb 2021
Dopamine: Differentially Private Federated Learning on Medical Data Mohammad Malekzadeh Burak Hasircioglu N. Mital K. Katarya M. E. Ozfatura Deniz Gündüz OOD FedML 16 51 0 27 Jan 2021
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation Jun Li Yumeng Shao Kang Wei Ming Ding Chuan Ma Long Shi Zhu Han Vincent Poor FedML 55 150 0 18 Jan 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 53 42 0 10 Jan 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 150 269 0 14 Dec 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,698 0 18 Mar 2020