Personalized Federated Learning with Adaptive Batchnorm for Healthcare

1 December 2021

Dimitrios Dimitriadis

Papers citing "Personalized Federated Learning with Adaptive Batchnorm for Healthcare"

25 / 25 papers shown

Title
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare Penghao Wang Qian Chen Teng Zhang Y. Zhang Wang Lu Yiqiang Chen 25 0 0 15 Apr 2025
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review Nikolas Koutsoubis Asim Waqas Yasin Yilmaz R. Ramachandran M. Schabath Ghulam Rasool 34 1 0 24 Sep 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 48 1 0 15 Sep 2024
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation Nikolas Koutsoubis Yasin Yilmaz Ravi P. Ramachandran M. Schabath Ghulam Rasool 34 8 0 18 Jun 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review Md. Shahin Ali M. Ahsan Lamia Tasnim Sadia Afrin Koushik Biswas Maruf Md. Sajjad Hossain Md Mahfuz Ahmed Ronok Hashan Md. Khairul Islam Shivakumar Raman 43 5 0 22 May 2024
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains Lei Wang Jieming Bian Letian Zhang Cheng Chen Jie Xu 37 7 0 14 Mar 2024
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation Li Lin Yixiang Liu Jiewei Wu Pujin Cheng Zhiyuan Cai Kenneth K. Y. Wong Xiaoying Tang FedML 37 6 0 27 Feb 2024
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning Zhongyi Cai Ye-ling Shi Wei Huang Jingya Wang FedML 32 4 0 21 Dec 2023
Multimodal Federated Learning in Healthcare: a Review Jacob Thrasher Alina Devkota Prasiddha Siwakotai Rohit Chivukula Pranav Poudel Chaunbo Hu Binod Bhattarai P. Gyawali 30 7 0 14 Oct 2023
Recent Methodological Advances in Federated Learning for Healthcare Fan Zhang Daniel Kreuter Yichen Chen Sören Dittmer Samuel Tull ... James H. F. Rudd J. A. Aston Carola-Bibiane Schönlieb Nicholas S. Gleadall Michael Roberts FedML OOD 38 5 0 04 Oct 2023
FedWon: Triumphing Multi-domain Federated Learning Without Normalization Weiming Zhuang Lingjuan Lyu 19 9 0 09 Jun 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning Jiahao Tan Yipeng Zhou Gang Liu Jessie Hui Wang Shui Yu FedML 24 13 0 25 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 57 14 0 10 May 2023
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation Li Lin Jiewei Wu Yixiang Liu Kenneth K. Y. Wong Xiaoying Tang FedML 26 6 0 12 Apr 2023
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions A. Bashir Nancy Victor S. Bhattacharya Thien Huynh-The Rajeswari Chengoden Gokul Yenduri Praveen Kumar Reddy Maddikunta Viet Quoc Pham Thippa Reddy Gadekallu Madhusanka Liyanage FedML 58 19 0 02 Apr 2023
Making Batch Normalization Great in Federated Deep Learning Shitian Zhao Hong-You Chen Wei-Lun Chao FedML 24 9 0 12 Mar 2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning Wang Lu Xixu Hu Jindong Wang Xingxu Xie FedML VLM 27 52 0 27 Feb 2023
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 43 90 0 05 Aug 2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare Yiqiang Chen Wang Lu Xin Qin Jindong Wang Xing Xie FedML 38 58 0 17 Jun 2022
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation Guanhua Ye Tong Chen Yawen Li Li-zhen Cui Quoc Viet Hung Nguyen Hongzhi Yin 30 7 0 27 May 2022
Federated Continual Learning for Socially Aware Robotics Luke M. Guerdan Hatice Gunes FedML 32 3 0 14 Jan 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 185 648 0 27 Oct 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 542 0 30 Mar 2020
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications Biagio Brattoli Joseph Tighe Fedor Zhdanov Pietro Perona Krzysztof Chalupka VLM 137 127 0 03 Mar 2020