Title
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 64 0 0 08 May 2025
Heavy-Tailed Privacy: The Symmetric alpha-Stable Privacy Mechanism Christopher Zawacki Eyad H. Abed 44 1 0 25 Apr 2025
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction Yazan Otoum Amiya Nayak 37 0 0 25 Apr 2025
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare Penghao Wang Qian Chen Teng Zhang Yuanyuan Zhang Wang Lu Yiqiang Chen 29 0 0 15 Apr 2025
Personalized Federated Training of Diffusion Models with Privacy Guarantees Kumar Kshitij Patel Weitong Zhang Lingxiao Wang MedIm 50 0 0 01 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 48 0 0 30 Mar 2025
FedCAPrivacy: Privacy-Preserving Heterogeneous Federated Learning with Anonymous Adaptive Clustering Yunan Wei Shengnan Zhao Chuan Zhao Zhe Liu Zhenxiang Chen Minghao Zhao FedML 44 0 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 73 1 0 01 Dec 2024
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 32 0 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 32 1 0 17 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 53 4 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 36 0 0 25 Sep 2024
FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography Raffaele Mineo Amelia Sorrenti Federica Proietto Salanitri MedIm 27 0 0 21 Sep 2024
Federated Learning with Label-Masking Distillation Jianghu Lu Shikun Li Kexin Bao Pengju Wang Zhenxing Qian Shiming Ge FedML 47 10 0 20 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai Jian Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 81 0 0 09 Sep 2024
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation Philip Schutte V. Corbetta Regina Beets-Tan Wilson Silva FedML 30 0 0 21 Aug 2024
Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery Jialang Xu Jiacheng Wang Lequan Yu Danail Stoyanov Yueming Jin E. Mazomenos 42 2 0 06 Aug 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 38 0 0 17 Jul 2024
CURE: Privacy-Preserving Split Learning Done Right Halil Ibrahim Kanpak Aqsa Shabbir Esra Genç Alptekin Küpçü Sinem Sav 24 0 0 12 Jul 2024
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging Kiarash Sedghighadikolaei Attila A Yavuz 44 1 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 36 8 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 49 4 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 34 1 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 45 5 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 43 6 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 71 5 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 37 0 0 07 May 2024
FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation Yuxi Liu Guibo Luo Yuesheng Zhu FedML MedIm 33 4 0 08 Mar 2024
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study Natalija Mitic Apostolos Pyrgelis Sinem Sav FedML 63 1 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 49 6 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 26 5 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 32 1 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 49 13 0 18 Dec 2023
The Symmetric alpha-Stable Privacy Mechanism Christopher Zawacki Eyad H. Abed 20 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 38 3 0 28 Nov 2023
A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data Mahfuzur Rahman Chowdhury Muhammad Ibrahim FedML 24 0 0 16 Nov 2023
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation Matthis Manthe Stefan Duffner Carole Lartizien FedML 47 3 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 32 7 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 29 0 0 13 Oct 2023
Domain Generalization for Medical Image Analysis: A Survey Jee Seok Yoon Kwanseok Oh Yooseung Shin Maciej A Mazurowski Heung-Il Suk LM&MA OOD 51 8 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 26 2 0 29 Sep 2023
Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields Teppei Suzuki AI4CE 26 8 0 12 Sep 2023
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks Daniel Scheliga Patrick Mäder M. Seeland FedML AAML 31 5 0 08 Sep 2023
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat Erdong Hu Yu-Shuen Tang Anastasios Kyrillidis C. Jermaine FedML 41 10 0 06 Sep 2023
Federated Learning for Computer Vision Yassine Himeur Iraklis Varlamis Hamza Kheddar Abbes Amira Shadi Atalla Yashbir Singh F. Bensaali W. Mansoor FedML 26 20 0 24 Aug 2023
GradientCoin: A Peer-to-Peer Decentralized Large Language Models Yeqi Gao Zhao Song Junze Yin 41 18 0 21 Aug 2023
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction Yu-bao Yan Chun-Mei Feng Yuexiang Li Rick Siow Mong Goh Lei Zhu MedIm 19 2 0 20 Aug 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review Sajjad Emdadi Mahdimahalleh AI4CE 40 0 0 01 Aug 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning Weiming Zhuang Yonggang Wen Lingjuan Lyu Shuai Zhang FedML 30 15 0 21 Jul 2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators Sikai Bai Shuaicheng Li Weiming Zhuang Jie Zhang Song Guo Kunlin Yang Jun Hou Shuai Zhang Junyu Gao Shuai Yi FedML 32 6 0 11 Jul 2023