Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation

18 March 2022

Wenqi Li

Ziyue Xu

Papers citing "Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation"

32 / 32 papers shown

Title
Federated Client-tailored Adapter for Medical Image Segmentation Guyue Hu Siyuan Song Yukun Kang Z. Yin Gangming Zhao Chenglong Li Jin Tang FedML MedIm 177 0 0 25 Apr 2025
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation Siladittya Manna Suresh Das Sayantari Ghosh Saumik Bhattacharya FedML 45 0 0 30 Mar 2025
Federated Continual 3D Segmentation With Single-round Communication Can Peng Qianhui Men Pramit Saha Qianye Yang Cheng Ouyang J. A. Noble FedML 54 0 0 19 Mar 2025
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation Yumin Zhang Yan Gao Haoran Duan Hanqing Guo Tejal Shah R. Ranjan Bo Wei FedML 80 0 0 19 Mar 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Luyuan Xie Tianyu Luan Wenyuan Cai Guochen Yan Z. Chen Nan Xi Yuejian Fang Qingni Shen Zhonghai Wu Junsong Yuan FedML 65 0 0 13 Mar 2025
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 32 0 0 31 Oct 2024
FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data Yukun Zhang Guanzhong Chen Zenglin Xu Jianyong Wang Dun Zeng J. Li Jinghua Wang Yuan Qi Irwin King FedML 28 0 0 28 Oct 2024
Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs Yuto Shibata Yasunori Kudo Yohei Sugawara 21 0 0 26 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 41 4 0 07 Oct 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen Wenke Huang Mang Ye FedML 40 16 0 26 May 2024
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis Luyuan Xie Manqing Lin Tianyu Luan Cong Li Yuejian Fang Qingni Shen Zhonghai Wu 36 9 0 10 May 2024
Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation Jieyi Tan Yansheng Li S. Bartalev Bo Dang Wei Chen Yongjun Zhang Liangqi Yuan 31 3 0 14 Apr 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son M. Kim Tai-Myung Chung Chao Huang Xin Liu FedML 41 3 0 27 Feb 2024
Empowering Federated Learning for Massive Models with NVIDIA FLARE Holger R. Roth Ziyue Xu Yuan-Ting Hsieh Adithya Renduchintala Isaac Yang ... Camir Ricketts Daguang Xu Chester Chen Yan Cheng Andrew Feng AI4CE 26 5 0 12 Feb 2024
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation Matthis Manthe Stefan Duffner Carole Lartizien FedML 35 2 0 17 Oct 2023
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation Lucia Innocenti Michela Antonelli Francesco Cremonesi Kenaan Sarhan Alejandro Granados Vicky Goh Sebastien Ourselin Marco Lorenzi FedML 26 2 0 29 Sep 2023
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation Jingwen Guo Hong Liu Shitong Sun Tianyu Guo M. Zhang Chenyang Si 35 3 0 19 Jun 2023
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 35 112 0 09 Jun 2023
Scale Federated Learning for Label Set Mismatch in Medical Image Classification Zhipeng Deng Luyang Luo Hao Chen FedML 19 1 0 14 Apr 2023
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images Ramin Nakhli Puria Azadi Moghadam Haoyang Mi H. Farahani Alexander S. Baras B. Gilks A. Bashashati MedIm ViT 22 17 0 01 Mar 2023
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks Yihan Wu Aleksandar Bojchevski Heng Huang AAML 34 30 0 09 Dec 2022
Faster Adaptive Federated Learning Xidong Wu Feihu Huang Zhengmian Hu Heng Huang FedML 30 56 0 02 Dec 2022
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model Shuo Shao Wenyuan Yang Hanlin Gu Zhan Qin Lixin Fan Qiang Yang Kui Ren FedML 27 27 0 14 Nov 2022
NVIDIA FLARE: Federated Learning from Simulation to Real-World H. Roth Yan Cheng Yuhong Wen Isaac Yang Ziyue Xu ... Daguang Xu Nic Ma Prerna Dogra Mona G. Flores Andrew Feng FedML AI4CE 27 96 0 24 Oct 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj Eros Fani Marco Toldo Debora Caldarola A. Tavera Umberto Michieli Marco Ciccone Pietro Zanuttigh Barbara Caputo FedML 26 39 0 05 Oct 2022
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems Jirong Yi Q. Zhang Zhenji Chen Qiaoan Liu Weizhuo Shao SSL FedML 26 3 0 21 Sep 2022
FedDAR: Federated Domain-Aware Representation Learning Aoxiao Zhong Hao He Zhaolin Ren Na Li Quanzheng Li OOD AI4CE 29 9 0 08 Sep 2022
Federated Multi-organ Segmentation with Inconsistent Labels Xuanang Xu H. Deng J. Gateno Pingkun Yan FedML 31 22 0 14 Jun 2022
Reward Systems for Trustworthy Medical Federated Learning Konstantin D. Pandl Florian Leiser Scott Thiebes A. Sunyaev OOD FedML 18 7 0 01 May 2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation Pengfei Guo Dong Yang Ali Hatamizadeh An Xu Ziyue Xu ... F. Patella Elvira Stellato G. Carrafiello Vishal M. Patel H. Roth OOD FedML 22 32 0 12 Mar 2022
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization Junkun Yuan Xu Ma Defang Chen Fei Wu Lanfen Lin Kun Kuang FedML 35 22 0 13 Oct 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 542 0 30 Mar 2020