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"

50 / 90 papers shown

Title
A privacy-preserving, distributed and cooperative FCM-based learning approach for cancer research Jose L. Salmeron Irina Arévalo 104 10 0 15 Feb 2024
Attention on Personalized Clinical Decision Support System: Federated Learning Approach Chu Myaet Thwal K. Thar Ye Lin Tun Choong Seon Hong 42 22 0 22 Jan 2024
Study of the performance and scalability of federated learning for medical imaging with intermittent clients Judith Sáinz-Pardo Díaz Á. García FedML OOD 48 51 0 18 Jul 2022
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation Tobias Bernecker Annette Peters C. Schlett F. Bamberg Fabian J. Theis Daniel Rueckert J. Weiss Shadi Albarqouni FedML MedIm 87 20 0 23 May 2022
Federated Learning Enables Big Data for Rare Cancer Boundary Detection Sarthak Pati Ujjwal Baid Brandon Edwards Micah J. Sheller Shih-Han Wang ... Prashant Shah Bjoern Menze J. Barnholtz-Sloan Jason Martin Spyridon Bakas FedML AI4CE 81 213 0 22 Apr 2022
Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model A. Bhattacharya M. Gawali J. Seth V. Kulkarni FedML OOD 47 7 0 22 Apr 2022
CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning Filip Ślazyk Przemysław Jabłecki Aneta Lisowska Maciej Malawski Szymon Płotka FedML 32 9 0 11 Apr 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 56 120 0 18 Mar 2022
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases Hasan Kassem Deepak Alapatt Pietro Mascagni AI4SafeChole Consortium Alexandros Karargyris N. Padoy FedML 53 40 0 14 Mar 2022
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge Sharib Ali N. Ghatwary Debesh Jha Ece Isik Polat Gorkem Polat ... Dominique Lamarque R. Cannizzaro S. Realdon Thomas de Lange J. East 90 64 0 24 Feb 2022
Personalized Federated Learning with Adaptive Batchnorm for Healthcare Wang Lu Jindong Wang Yiqiang Chen Xin Qin Renjun Xu Dimitrios Dimitriadis Tao Qin FedML OOD 64 62 0 01 Dec 2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence Xiang Bai Hanchen Wang Liya Ma Yongchao Xu Jiefeng Gan ... C. Zheng Jianming Wang Zhen Li Carola-Bibiane Schönlieb Tian Xia FedML 56 64 0 18 Nov 2021
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Quoc-Viet Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre Won Joo Hwang FedML 60 535 0 16 Nov 2021
DPCOVID: Privacy-Preserving Federated Covid-19 Detection Trang-Thi Ho Yennun Huang OOD FedML 32 4 0 26 Oct 2021
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation Chen Shen Pochuan Wang H. Roth Dong Yang Daguang Xu ... C. Fuh Po-Ting Chen Kao-Lang Liu W. Liao K. Mori FedML 89 41 0 19 Aug 2021
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging Liangqiong Qu N. Balachandar D. Rubin 45 24 0 18 Jul 2021
Memory-aware curriculum federated learning for breast cancer classification Amelia Jiménez-Sánchez Mickael Tardy M. A. G. Ballester Diana Mateus Gemma Piella OOD 53 90 0 06 Jul 2021
Interval Privacy: A Framework for Privacy-Preserving Data Collection Jie Ding Bangjun Ding 35 5 0 17 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 71 790 0 12 Jun 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu ... Elvira Stellato G. Carrafiello A. Ierardi Alan Yuille H. Roth OOD FedML 93 46 0 20 Apr 2021
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks Bill Yuchen Lin Chaoyang He ZiHang Zeng Hulin Wang Yufen Huang Christophe Dupuy Rahul Gupta Mahdi Soltanolkotabi Xiang Ren Salman Avestimehr FedML 52 115 0 18 Apr 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Quoc-Viet Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 66 430 0 05 Apr 2021
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN Daniele Romanini A. Hall Pavlos Papadopoulos Tom Titcombe Abbas Ismail Tudor Cebere R. Sandmann Robin Roehm Michael A. Hoeh FedML MU 31 91 0 01 Apr 2021
Model-Contrastive Federated Learning Qinbin Li Bingsheng He D. Song FedML 72 1,036 0 30 Mar 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Quande Liu Cheng Chen J. Qin Qi Dou Pheng-Ann Heng OOD FedML 131 437 0 10 Mar 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 107 76 0 25 Feb 2021
Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach Eoin Brophy M. D. Vos Geraldine Boylan T. Ward FedML OOD 68 46 0 24 Feb 2021
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge A. Qayyum Kashif Ahmad Muhammad Ahtazaz Ahsan Ala I. Al-Fuqaha Junaid Qadir FedML 76 189 0 19 Jan 2021
Differentially Private Federated Learning for Cancer Prediction C. Béguier Jean Ogier du Terrail I. Meah M. Andreux Eric W. Tramel FedML 39 19 0 08 Jan 2021
Architectural Patterns for the Design of Federated Learning Systems Sin Kit Lo Qinghua Lu Liming Zhu Hye-Young Paik Xiwei Xu Chen Wang FedML AI4CE 59 65 0 07 Jan 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 200 278 0 14 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 55 144 0 07 Dec 2020
MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent K.R. Jayaram Archit Verma A. Verma Gegi Thomas Colin Sutcher-Shepard FedML 30 11 0 01 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective Yi Liu Li Zhang Ning Ge Guanghao Li FedML 58 23 0 01 Dec 2020
BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture H. Desai Mustafa Safa Ozdayi Murat Kantarcioglu FedML 101 61 0 14 Oct 2020
COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework Anwaar Ulhaq O. Burmeister FedML 47 19 0 13 Oct 2020
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning Pochuan Wang Chen Shen H. Roth Dong Yang Daguang Xu ... Po-Ting Chen Kao-Lang Liu Wei-Chih Liao Weichung Wang K. Mori FedML OOD 53 25 0 28 Sep 2020
Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in the Cloud Zhuo Ma Jianfeng Ma Yinbin Miao Ximeng Liu K. Choo R. Deng FedML 91 33 0 23 Sep 2020
Dynamic Fusion based Federated Learning for COVID-19 Detection Weishan Zhang Tao Zhou Qinghua Lu Xiao Wang Chunsheng Zhu Haoyun Sun Zhipeng Wang Sin Kit Lo Fei-Yue Wang FedML MedIm 51 209 0 22 Sep 2020
Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare Matei Grama M. Mușat Luis Muñoz-González Jonathan Passerat-Palmbach Daniel Rueckert A. Alansary OOD FedML 57 45 0 17 Sep 2020
Federated Learning for Breast Density Classification: A Real-World Implementation H. Roth Ken Chang Praveer Singh N. Neumark Wenqi Li ... I. Dayan R. Naidu Mona G. Flores D. Rubin Jayashree Kalpathy-Cramer OOD FedML AI4CE 48 164 0 03 Sep 2020
Siloed Federated Learning for Multi-Centric Histopathology Datasets M. Andreux Jean Ogier du Terrail C. Béguier Eric W. Tramel FedML OOD AI4CE 51 114 0 17 Aug 2020
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data Sohei Itahara Takayuki Nishio Yusuke Koda M. Morikura Koji Yamamoto FedML 29 259 0 14 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 221 575 0 27 Jul 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1 Heiko Ludwig Nathalie Baracaldo Gegi Thomas Yi Zhou Ali Anwar ... Sean Laguna Mikhail Yurochkin Mayank Agarwal Ebube Chuba Annie Abay FedML 163 163 0 22 Jul 2020
VAFL: a Method of Vertical Asynchronous Federated Learning Tianyi Chen Xiao Jin Yuejiao Sun W. Yin FedML 102 161 0 12 Jul 2020
Experiments of Federated Learning for COVID-19 Chest X-ray Images Boyi Liu Bingjie Yan Yize Zhou Yifan Yang Yixian Zhang OOD FedML 46 153 0 05 Jul 2020
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy Nuria Rodríguez Barroso G. Stipcich Daniel Jiménez-López José Antonio Ruiz-Millán Eugenio Martínez-Cámara Gerardo González-Seco M. V. Luzón M. Veganzones Francisco Herrera 52 102 0 02 Jul 2020
SSHealth: Toward Secure, Blockchain-Enabled Healthcare Systems A. Abdellatif Abeer Z. Al-Marridi Amr M. Mohamed A. Erbad C. Chiasserini A. Refaey 27 81 0 18 Jun 2020
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention Ce Ju Ruihui Zhao Jichao Sun Xiguang Wei Bo Zhao ... Dashan Gao Ben Tan Han Yu Chuning He Yuan Jin FedML OOD 40 33 0 15 Jun 2020