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"

27 / 27 papers shown

Title
ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning Lucas Bickmann Lucas Plagwitz Antonius Büscher Lars Eckardt Julian Varghese 43 0 0 17 Mar 2025
Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions Youngjoon Lee J. Gong Sun Choi Joonhyuk Kang FedML Presented at ResearchTrend Connect \| FedML on 23 Apr 2025 102 1 0 27 Feb 2025
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data Luoting Zhuang Stephen H. Park Steven J. Skates Ashley E. Prosper Denise R. Aberle William Hsu 117 0 0 11 Feb 2025
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks Sushilkumar Yadav Irem Bor-Yaliniz 30 0 0 01 Nov 2024
Securing Federated Learning Against Novel and Classic Backdoor Threats During Foundation Model Integration Xiaohuan Bi Xi Li 50 1 0 23 Oct 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning Syed Irfan Ali Meerza Jian-Dong Liu 19 2 0 02 Oct 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 18 1 0 16 Aug 2024
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis Sufen Ren Yule Hu Shengchao Chen Guanjun Wang 19 1 0 02 Jul 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 24 4 0 30 May 2024
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain Markus R. Bujotzek Unal Akunal Stefan Denner Peter Neher M. Zenk ... Jens Kleesiek Tobias Penzkofer Klaus H. Maier-Hein R. Braren Andreas Bucher AI4CE 23 2 0 15 May 2024
PrivFED -- A Framework for Privacy-Preserving Federated Learning in Enhanced Breast Cancer Diagnosis Maithili Jha S. Maitri M. Lohithdakshan J. S. Duela K. Raja 19 1 0 13 May 2024
Enhancing Privacy in Federated Learning through Local Training Nicola Bastianello Changxin Liu Karl H. Johansson 30 2 0 26 Mar 2024
FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation Yuxi Liu Guibo Luo Yuesheng Zhu FedML MedIm 18 4 0 08 Mar 2024
A privacy-preserving, distributed and cooperative FCM-based learning approach for cancer research Jose L. Salmeron Irina Arévalo 52 10 0 15 Feb 2024
Free Lunch for Federated Remote Sensing Target Fine-Grained Classification: A Parameter-Efficient Framework Shengchao Chen Ting Shu Huani Zhao Jiahao Wang Sufen Ren Lina Yang 19 5 0 03 Jan 2024
Cognizance of Post-COVID-19 Multi-Organ Dysfunction through Machine Learning Analysis Hector J. Castro Maitham G. Yousif AI4CE 15 0 0 27 Sep 2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification Tianpeng Deng Yanqi Huang Guoqiang Han Zhenwei Shi Jiatai Lin Qianming Dou Zaiyi Liu Xiaohui Guo Xin Chen Chu Han FedML 35 6 0 24 Feb 2023
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 26 19 0 23 May 2022
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 37 45 0 20 Apr 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 150 183 0 14 Dec 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 156 553 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 124 155 0 22 Jul 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review A. Shoeibi Marjane Khodatars M. Jafari Navid Ghassemi Delaram Sadeghi ... Z. Sani F. Khozeimeh S. Nahavandi U. Acharya Juan M Gorriz 33 176 0 16 Jul 2020
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning Suyu Ge Fangzhao Wu Chuhan Wu Tao Qi Yongfeng Huang Xing Xie 148 55 0 20 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 174 1,690 0 18 Mar 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 174 1,014 0 29 Nov 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 133 1,663 0 14 Apr 2018