Federated Learning for Smart Healthcare: A Survey

16 November 2021

Dinh C. Nguyen

Quoc-Viet Pham

P. Pathirana

Ming Ding

Aruna Seneviratne

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

24 / 74 papers shown

Title
Secure and Efficient Federated Transfer Learning Shreya Sharma C. Xing Yang Liu Yan Kang FedML 43 80 0 29 Oct 2019
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data Sabri Boughorbel Fethi Jarray Neethu Venugopal S. Moosa Haithum Elhadi Michel Makhlouf OOD FedML 124 52 0 27 Oct 2019
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving Rulin Shao Hongyu Hè Hui Liu Dianbo Liu FedML OOD 179 13 0 23 Oct 2019
Reliable Federated Learning for Mobile Networks Jiawen Kang Zehui Xiong Dusit Niyato Y. Zou Yang Zhang Mohsen Guizani FedML 53 468 0 14 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 66 176 0 07 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 73 481 0 02 Oct 2019
Decentralized Federated Learning: A Segmented Gossip Approach Chenghao Hu Jingyan Jiang Zhi Wang FedML 54 186 0 21 Aug 2019
Two-stage Federated Phenotyping and Patient Representation Learning Dianbo Liu Dmitriy Dligach Timothy A. Miller 50 80 0 14 Aug 2019
Motivating Workers in Federated Learning: A Stackelberg Game Perspective Y. Sarikaya Ozgur Ercetin FedML 57 186 0 06 Aug 2019
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Yiqiang Chen Jindong Wang Chaohui Yu Wen Gao Xin Qin FedML 80 721 0 22 Jul 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 100 2,227 0 21 Jun 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 76 370 0 22 Mar 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 76 1,362 0 07 Mar 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 126 2,675 0 04 Feb 2019
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 710 0 03 Dec 2018
FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record Dianbo Liu Timothy A. Miller R. Sayeed K. Mandl FedML OOD 57 61 0 28 Nov 2018
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data R. SantiagoS.Silva B. Gutman E. Romero P. Thompson Andre Altmann Marco Lorenzi FedML 51 180 0 19 Oct 2018
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 52 474 0 16 Jul 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 173 2,585 0 02 Jun 2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge Takayuki Nishio Ryo Yonetani FedML 127 1,407 0 23 Apr 2018
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification Maayan Frid-Adar I. Diamant Eyal Klang Michal Amitai Jacob Goldberger H. Greenspan GAN MedIm 91 1,567 0 03 Mar 2018
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records Zhengping Che Yu Cheng Shuangfei Zhai Zhaonan Sun Yan Liu OOD 64 161 0 06 Sep 2017
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis B. Shickel P. Tighe A. Bihorac Parisa Rashidi BDL 105 1,121 0 12 Jun 2017
Practical Secure Aggregation for Federated Learning on User-Held Data Keith Bonawitz Vladimir Ivanov Ben Kreuter Antonio Marcedone H. B. McMahan Sarvar Patel Daniel Ramage Aaron Segal Karn Seth FedML 86 506 0 14 Nov 2016