Title
Adaptive Latent-Space Constraints in Personalized FL Sana Ayromlou D. B. Emerson FedML 30 0 0 12 May 2025
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions Flora Amato Lingyu Qiu Mohammad Tanveer S. Cuomo F. Giampaolo F. Piccialli FedML 29 0 0 05 May 2025
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A systematic literature review Yuezhe Yang Boyu Yang Yaqian Wang Yang He Xingbo Dong Zhe Jin 33 0 0 15 Apr 2025
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation C. Shiranthika Zahra Hafezi Kafshgari Hadi Hadizadeh Parvaneh Saeedi FedML 35 0 0 26 Mar 2025
A Thorough Assessment of the Non-IID Data Impact in Federated Learning Daniel Gutiérrez Mehrdad Hassanzadeh Aris Anagnostopoulos I. Chatzigiannakis A. Vitaletti 34 0 0 21 Mar 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 33 0 0 03 Feb 2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning Nurbek Tastan Samuel Horváth Karthik Nandakumar FedML 63 0 0 21 Jan 2025
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis Jiaqi Wang Ziyi Yin Quanzeng You Lingjuan Lyu Fenglong Ma FedML 66 0 0 27 Dec 2024
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications Francesco Cremonesi Lucia Innocenti Sebastien Ourselin Vicky Goh Michela Antonelli Marco Lorenzi FedML 94 0 0 09 Dec 2024
Overcoming label shift in targeted federated learning Edvin Listo Zec Adam Breitholtz Fredrik D. Johansson FedML 21 0 0 06 Nov 2024
Formal Logic-guided Robust Federated Learning against Poisoning Attacks Dung T. Nguyen Ziyan An Taylor T. Johnson Meiyi Ma Kevin Leach AAML OOD 28 0 0 05 Nov 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 20 0 0 28 Oct 2024
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration Vasilis Siomos Sergio Naval Marimont Jonathan Passerat-Palmbach G. Tarroni 23 0 0 02 Oct 2024
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System Ravi K. Madduri Zilinghan Li Tarak Nandi Kibaek Kim Minseok Ryu Alex Rodriguez 23 1 0 29 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 48 5 0 17 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 29 1 0 15 Sep 2024
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications Riccardo Taiello Sergen Cansiz Marc Vesin Francesco Cremonesi Lucia Innocenti Melek Önen Marco Lorenzi 35 0 0 02 Sep 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection Jiaqi Wang Xiaochen Wang Lingjuan Lyu Jinghui Chen Fenglong Ma 67 3 0 17 Aug 2024
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability Mario Padilla Rodriguez Mohamed Nafea FedML 21 0 0 12 Aug 2024
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation Mothilal Asokan Difei Gao Joya Chen Mike Zheng Shou FedML MedIm 23 1 0 31 Jul 2024
COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang Jian Xu Chen Chen Jingtao Li Lingjuan Lyu VLM FedML 70 4 0 23 Jul 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 24 0 0 17 Jul 2024
Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification Naif Alkhunaizi Faris Almalik Rouqaiah Al-Refai Muzammal Naseer Karthik Nandakumar MedIm 67 2 0 16 Jul 2024
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging Kumail Alhamoud Yasir Ghunaim Motasem Alfarra Thomas Hartvigsen Philip H. S. Torr Bernard Ghanem Adel Bibi Marzyeh Ghassemi OOD 20 2 0 11 Jul 2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning Jiaqi Wang Chenxu Zhao Lingjuan Lyu Quanzeng You Mengdi Huai Fenglong Ma FedML 21 3 0 03 Jul 2024
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models Rui Ye Rui Ge Xinyu Zhu Jingyi Chai Yaxin Du Yang Liu Yanfeng Wang Siheng Chen FedML 28 13 0 07 Jun 2024
Redefining Contributions: Shapley-Driven Federated Learning Nurbek Tastan Samar Fares Toluwani Aremu Samuel Horváth Karthik Nandakumar FedML 20 4 0 01 Jun 2024
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making S. Hahn Gi-Soo Kim Junghye Lee FedML 15 1 0 31 May 2024
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning Avetik G. Karagulyan Egor Shulgin Abdurakhmon Sadiev Peter Richtárik FedML 27 2 0 30 May 2024
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping Ziqing Fan Jiangchao Yao Ruipeng Zhang Lingjuan Lyu Ya-Qin Zhang Yanfeng Wang FedML 19 2 0 29 May 2024
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data Ziqing Fan Ruipeng Zhang Jiangchao Yao Bo Han Ya-Qin Zhang Yanfeng Wang FedML 14 9 0 29 May 2024
FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning Zihui Wang Zheng Wang Lingjuan Lyu Zhaopeng Peng Zhicheng Yang Chenglu Wen Rongshan Yu Cheng-i Wang Xiaoliang Fan FedML 22 2 0 28 May 2024
A Universal Metric of Dataset Similarity for Cross-silo Federated Learning Ahmed Elhussein Gamze Gursoy FedML OOD 21 0 0 29 Apr 2024
Personalized Collaborative Fine-Tuning for On-Device Large Language Models Nicolas Wagner Dongyang Fan Martin Jaggi 24 3 0 15 Apr 2024
pfl-research: simulation framework for accelerating research in Private Federated Learning Filip Granqvist Congzheng Song Áine Cahill Rogier van Dalen Martin Pelikan Yi Sheng Chan Xiaojun Feng Natarajan Krishnaswami Vojta Jina Mona Chitnis FedML 18 2 0 09 Apr 2024
Cross-silo Federated Learning with Record-level Personalized Differential Privacy Junxu Liu Jian Lou Li Xiong Jinfei Liu Xiaofeng Meng 10 5 0 29 Jan 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units Shaoheng Fang Rui Ye Wenhao Wang Zuhong Liu Yuxiao Wang Yafei Wang Siheng Chen Yanfeng Wang 24 1 0 23 Jan 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 22 12 0 05 Dec 2023
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings Jean Ogier du Terrail Quentin Klopfenstein Honghao Li Imke Mayer Nicolas Loiseau Mohammad Hallal Félix Balazard M. Andreux 9 2 0 28 Nov 2023
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification Vasilis Siomos Sergio Naval Marimont Jonathan Passerat-Palmbach G. Tarroni 22 0 0 24 Nov 2023
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition Sara Pieri Jose Renato Restom Samuel Horvath Hisham Cholakkal FedML 11 8 0 23 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 19 7 0 14 Oct 2023
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things Samiul Alam Tuo Zhang Tiantian Feng Hui Shen Zhichao Cao ... JeongGil Ko Kiran Somasundaram Shrikanth S. Narayanan Salman Avestimehr Mi Zhang 20 5 0 29 Sep 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 9 2 0 29 Sep 2023
A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets Fatemeh Tavakoli D. B. Emerson Sana Ayromlou John Jewell Amrit Krishnan Yuchong Zhang A. Verma Fahad Razak FedML 23 1 0 28 Sep 2023
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler Zilinghan Li Pranshu Chaturvedi Shilan He Han-qiu Chen Gagandeep Singh Volodymyr V. Kindratenko Eliu A. Huerta Kibaek Kim Ravi K. Madduri FedML 17 4 0 26 Sep 2023
Bias Propagation in Federated Learning Hong Chang Reza Shokri FedML 8 5 0 05 Sep 2023
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy Fumiyuki Kato Li Xiong Shun Takagi Yang Cao Masatoshi Yoshikawa FedML 9 2 0 23 Aug 2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics Alberto Archetti F. Ieva Matteo Matteucci FedML 17 10 0 04 Aug 2023
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification Marawan Elbatel Hualiang Wang Robert Martí H. Fu X. Li FedML 17 8 0 27 Jul 2023