Title
Data Efficient Any Transformer-to-Mamba Distillation via Attention Bridge Penghao Wang Yuhao Zhou Mengxuan Wu Panpan Zhang Zhangyang Wang Kai Wang Mamba 233 0 0 22 Oct 2025
Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos Zheng Fang Xiaoming Qi Chun-Mei Feng Jialun Pei Weixin Si Yueming Jin FedML 154 1 0 30 Jun 2025
A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck Ciro Benito Raggio P. Zaffino M. Spadea MedIm 123 0 0 10 Jun 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 239 13 0 08 May 2025
Heavy-Tailed Privacy: The Symmetric alpha-Stable Privacy Mechanism Christopher Zawacki Eyad H. Abed 177 2 0 25 Apr 2025
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction Yazan Otoum Amiya Nayak 134 3 0 25 Apr 2025
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare Penghao Wang Qian Chen Teng Zhang Yu Zhang Wang Lu Yiqiang Chen 253 1 0 15 Apr 2025
Personalized Federated Training of Diffusion Models with Privacy Guarantees Kumar Kshitij Patel Weitong Zhang Lingxiao Wang MedIm 265 1 0 01 Apr 2025
FedCAPrivacy: Privacy-Preserving Heterogeneous Federated Learning with Anonymous Adaptive Clustering Yunan Wei Shengnan Zhao Chuan Zhao Zhe Liu Zhenxiang Chen Minghao Zhao FedML 178 1 0 30 Mar 2025
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation Siladittya Manna Suresh Das Sayantari Ghosh Saumik Bhattacharya FedML 172 1 0 30 Mar 2025
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Mohamad Haj Fares Ahmed Mohamed Saad Emam Saad OOD MedIm 223 8 0 01 Dec 2024
Federated Black-Box Adaptation for Semantic SegmentationNeural Information Processing Systems (NeurIPS), 2024 Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 221 1 0 31 Oct 2024
Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity Handi Zhang Langchen Liu Lu Lu FedML 207 6 0 17 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 202 11 0 07 Oct 2024
Investigating Privacy Attacks in the Gray-Box Setting to Enhance Collaborative Learning Schemes Federico Mazzone Ahmad Al Badawi Y. Polyakov Maarten Everts Florian Hahn Andreas Peter MIACV AAML 253 0 0 25 Sep 2024
FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography Raffaele Mineo Amelia Sorrenti Federica Proietto Salanitri MedIm 103 1 0 21 Sep 2024
Federated Learning with Label-Masking DistillationACM Multimedia (MM), 2023 Jianghu Lu Shikun Li Kexin Bao Pengju Wang Zhenxing Qian Shiming Ge FedML 195 23 0 20 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2024 Jiahao Lai Jiaqiang Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 287 1 0 09 Sep 2024
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation Philip Schutte V. Corbetta Regina Beets-Tan Wilson Silva FedML 152 1 0 21 Aug 2024
Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic SurgeryIEEE Transactions on Biomedical Engineering (IEEE TBME), 2024 Jialang Xu Jiacheng Wang Lequan Yu Danail Stoyanov Yueming Jin E. Mazomenos 247 4 0 06 Aug 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 180 1 0 17 Jul 2024
CURE: Privacy-Preserving Split Learning Done Right Halil Ibrahim Kanpak Aqsa Shabbir Esra Genç Alptekin Küpçü Sinem Sav 178 2 0 12 Jul 2024
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging Kiarash Sedghighadikolaei Attila A Yavuz 208 6 0 29 Jun 2024
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation Nikolas Koutsoubis Yasin Yilmaz Ravi P. Ramachandran M. Schabath Ghulam Rasool 199 14 0 18 Jun 2024
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities Felix Wagner Wentian Xu Pramit Saha Ziyun Liang Daniel Whitehouse David Menon Virginia Newcombe Natalie Voets J. A. Noble Konstantinos Kamnitsas 255 5 0 17 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 207 3 0 16 Jun 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 185 16 0 16 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 167 18 0 22 May 2024
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare Xingyu Li Lu Peng Yuping Wang Weihua Zhang AI4CE MedIm LM&MA 285 28 0 10 May 2024
Enabling Privacy-Preserving and Publicly Auditable Federated Learning Huang Zeng Anjia Yang Jian Weng Min-Rong Chen Fengjun Xiao Yi Liu Ye Yao 209 0 0 07 May 2024
FedFMS: Exploring Federated Foundation Models for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Yuxi Liu Guibo Luo Yuesheng Zhu FedML MedIm 239 18 0 08 Mar 2024
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study Natalija Mitic Apostolos Pyrgelis Sinem Sav FedML 281 3 0 25 Feb 2024
Robust Training of Federated Models with Extremely Label Deficiency Yonggang Zhang Zhiqin Yang Xinmei Tian Nannan Wang Tongliang Liu Bo Han FedML 228 7 0 22 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 119 7 0 12 Feb 2024
FedCore: Straggler-Free Federated Learning with Distributed Coresets Hongpeng Guo Haotian Gu Xiaoyang Wang Bo Chen Eun Kyung Lee Tamar Eilam Deming Chen Klara Nahrstedt FedML 207 2 0 31 Jan 2024
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices Ji Liu Tianshi Che Yang Zhou Ruoming Jin H. Dai Dejing Dou P. Valduriez 213 21 0 18 Dec 2023
The Symmetric alpha-Stable Privacy MechanismAnnual Conference on Information Sciences and Systems (CISS), 2023 Christopher Zawacki Eyad H. Abed 158 2 0 29 Nov 2023
On the Effect of Defections in Federated Learning and How to Prevent Them Minbiao Han Kumar Kshitij Patel Han Shao Lingxiao Wang FedML 205 4 0 28 Nov 2023
A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data Mahfuzur Rahman Chowdhury Muhammad Ibrahim FedML 107 0 0 16 Nov 2023
Whole-brain radiomics for clustered federated personalization in brain tumor segmentationInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023 Matthis Manthe Stefan Duffner Carole Lartizien FedML 229 4 0 17 Oct 2023
Multimodal Federated Learning in Healthcare: a Review Jacob Thrasher Alina Devkota Prasiddha Siwakotai Rohit Chivukula Pranav Poudel Chaunbo Hu Binod Bhattarai P. Gyawali 241 16 0 14 Oct 2023
Tackling Heterogeneity in Medical Federated learning via Vision Transformers Erfan Darzi Yiqing Shen Yangming Ou N. Sijtsema P. V. Ooijen MedIm FedML 186 0 0 13 Oct 2023
Domain Generalization for Medical Image Analysis: A SurveyProceedings of the IEEE (Proc. IEEE), 2023 Jee Seok Yoon Kwanseok Oh Yooseung Shin Maciej A Mazurowski Heung-Il Suk LM&MA OOD 317 4 0 05 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 157 2 0 29 Sep 2023
Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields Teppei Suzuki AI4CE 292 10 0 12 Sep 2023
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks Daniel Scheliga Patrick Mäder M. Seeland FedML AAML 251 7 0 08 Sep 2023
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to BeatIEEE International Conference on Computer Vision (ICCV), 2023 Erdong Hu Yu-Shuen Tang Anastasios Kyrillidis C. Jermaine FedML 208 13 0 06 Sep 2023
Federated Learning for Computer Vision Yassine Himeur Iraklis Varlamis Hamza Kheddar Abbes Amira Shadi Atalla Yashbir Singh F. Bensaali Shadi Atalla FedML 184 43 0 24 Aug 2023
GradientCoin: A Peer-to-Peer Decentralized Large Language Models Yeqi Gao Zhao Song Junze Yin 149 22 0 21 Aug 2023
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI ReconstructionIEEE journal of biomedical and health informatics (IEEE JBHI), 2023 Yu-bao Yan Chun-Mei Feng Yuexiang Li Rick Siow Mong Goh Lei Zhu MedIm 193 6 0 20 Aug 2023