Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions

5 August 2022

Debesh Jha

Papers citing "Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions"

40 / 90 papers shown

Title
6G White Paper on Edge Intelligence Ella Peltonen M. Bennis M. Capobianco Merouane Debbah Aaron Yi Ding ... S. Samarakoon K. Seppänen Paweł Sroka Sasu Tarkoma Tingting Yang 44 139 0 30 Apr 2020
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning Suyu Ge Fangzhao Wu Chuhan Wu Tao Qi Yongfeng Huang Xing Xie 191 57 0 20 Mar 2020
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach Yi Liu James Jianqiao Yu Jiawen Kang Dusit Niyato Shuyu Zhang AI4TS 64 447 0 19 Mar 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 253 1,761 0 18 Mar 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 56 334 0 22 Feb 2020
PrivacyFL: A simulator for privacy-preserving and secure federated learning Vaikkunth Mugunthan Anton Peraire-Bueno Lalana Kagal FedML 35 57 0 19 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 325 18,721 0 13 Feb 2020
FOCUS: Dealing with Label Quality Disparity in Federated Learning Yiqiang Chen Xiaodong Yang Xin Qin Han Yu Biao Chen Zhiqi Shen FedML 35 95 0 29 Jan 2020
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results Xiaoxiao Li Yufeng Gu Nicha Dvornek Lawrence H. Staib P. Ventola James S. Duncan FedML OOD 67 352 0 16 Jan 2020
Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records Jianfei Cui He Zhu Hao Deng Ziwei Chen Dianbo Liu 37 33 0 25 Dec 2019
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation Qihang Yu Dong Yang H. Roth Yutong Bai Yixiao Zhang Alan Yuille Daguang Xu 67 108 0 20 Dec 2019
Learn Electronic Health Records by Fully Decentralized Federated Learning Songtao Lu Yawen Zhang Yunlong Wang C. Mack FedML 38 24 0 04 Dec 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 99 1,103 0 26 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 165 12,065 0 13 Nov 2019
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data Sabri Boughorbel Fethi Jarray Neethu Venugopal S. Moosa Haithum Elhadi Michel Makhlouf OOD FedML 116 51 0 27 Oct 2019
Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning M. Galtier Camille Marini 33 40 0 25 Oct 2019
A blockchain-orchestrated Federated Learning architecture for healthcare consortia Jonathan Passerat-Palmbach Tyler Farnan Robert C Miller M. Gross H. Flannery Bill Gleim FedML 35 54 0 12 Oct 2019
Differential Privacy-enabled Federated Learning for Sensitive Health Data Olivia Choudhury A. Gkoulalas-Divanis Theodoros Salonidis I. Sylla Yoonyoung Park Grace Hsu Amar K. Das FedML OOD 47 176 0 07 Oct 2019
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing En Li Liekang Zeng Zhi Zhou Xu Chen 46 625 0 04 Oct 2019
Privacy-preserving Federated Brain Tumour Segmentation Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox ... Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso Andrew Feng FedML 73 477 0 02 Oct 2019
BAFFLE : Blockchain Based Aggregator Free Federated Learning P. Ramanan K. Nakayama FedML 54 171 0 16 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 109 4,496 0 21 Aug 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 89 998 0 23 Jul 2019
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Yiqiang Chen Jindong Wang Chaohui Yu Wen Gao Xin Qin FedML 73 715 0 22 Jul 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 138 2,327 0 04 Jul 2019
Federated Multi-task Hierarchical Attention Model for Sensor Analytics Yujing Chen Yue Ning Zheng Chai Huzefa Rangwala 37 6 0 13 May 2019
Interpret Federated Learning with Shapley Values Guan Wang FAtt FedML 58 91 0 11 May 2019
Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records Li Huang Dianbo Liu OOD FedML 66 367 0 22 Mar 2019
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 134 1,417 0 03 Dec 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 276 1,053 0 29 Nov 2018
FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record Dianbo Liu Timothy A. Miller R. Sayeed K. Mandl FedML OOD 48 59 0 28 Nov 2018
3D MRI brain tumor segmentation using autoencoder regularization Andriy Myronenko 92 1,044 0 27 Oct 2018
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation Micah J. Sheller G. A. Reina Brandon Edwards Jason Martin Spyridon Bakas FedML 61 463 0 10 Oct 2018
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning Xiaofei Wang Yiwen Han Chenyang Wang Qiyang Zhao Xu Chen Min Chen 46 802 0 19 Sep 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 91 1,907 0 02 Jul 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 230 1,704 0 14 Apr 2018
Differentially Private Federated Learning: A Client Level Perspective Robin C. Geyer T. Klein Moin Nabi FedML 112 1,293 0 20 Dec 2017
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes Siqi Liu Daguang Xu S. Kevin Zhou T. Mertelmeier Julia Wicklein A. Jerebko Sasa Grbic Olivier Pauly Weidong (Tom) Cai Dorin Comaniciu MedIm 48 146 0 23 Nov 2017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models Wojciech Samek Thomas Wiegand K. Müller XAI VLM 68 1,188 0 28 Aug 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 380 17,437 0 17 Feb 2016