Title
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics Daniele Malpetti Marco Scutari Francesco Gualdi Jessica van Setten Sander van der Laan Saskia Haitjema Aaron Mark Lee Isabelle Hering Francesca Mangili FedML AI4CE 109 1 0 12 Mar 2025
Atlas: A Framework for ML Lifecycle Provenance & Transparency Marcin Spoczynski Marcela S. Melara Shri Kiran Srinivasan 72 1 0 26 Feb 2025
Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL Kevin Ta Patrick Foley Mattson Thieme Abhishek Pandey Prashant Shah 71 0 0 21 Jan 2025
A performance analysis of VM-based Trusted Execution Environments for Confidential Federated Learning Bruno Casella FedML 32 0 0 20 Jan 2025
Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems Anastasiia Zakharova Dmitriy Alexandrov M. Khodorchenko N. Butakov Alexey Vasilev Maxim Savchenko Alexander Grigorievskiy FedML 27 0 0 23 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 60 6 0 17 Sep 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 41 4 0 30 May 2024
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx Trung-Hieu Hoang Jordan D. Fuhrman Ravi K. Madduri Miao Li Pranshu Chaturvedi ... Kibaek Kim Minseok Ryu Ryan Chard Eliu A. Huerta Maryellen L. Giger 28 5 0 14 Dec 2023
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models Irene Balelli Aude Sportisse Francesco Cremonesi Pierre-Alexandre Mattei Marco Lorenzi 32 3 0 17 Apr 2023
FS-Real: Towards Real-World Cross-Device Federated Learning Daoyuan Chen Dawei Gao Yuexiang Xie Xuchen Pan Zitao Li Yaliang Li Bolin Ding Jingren Zhou 117 26 0 23 Mar 2023
Model-Agnostic Federated Learning Gianluca Mittone Walter Riviera Iacopo Colonnelli Robert Birke Marco Aldinucci FedML 29 7 0 08 Mar 2023
FedGraph: an Aggregation Method from Graph Perspective Zhifang Deng Xiaohong Huang Dandan Li Xueguang Yuan FedML 30 0 0 06 Oct 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion Duy Phuong Nguyen Sixing Yu J. P. Muñoz Ali Jannesari FedML 21 12 0 16 Aug 2022
Decision Models for Selecting Federated Learning Architecture Patterns Sin Kit Lo Qinghua Lu Hye-Young Paik Liming Zhu AI4CE FedML 37 0 0 28 Apr 2022
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation Ece Isik Polat Gorkem Polat Altan Koçyiğit A. Temi̇zel OOD FedML 22 3 0 16 Feb 2022
FedCostWAvg: A new averaging for better Federated Learning Leon Mächler Ivan Ezhov Florian Kofler Suprosanna Shit Johannes C. Paetzold T. Loehr Benedikt Wiestler Bjoern H. Menze FedML OOD 25 13 0 16 Nov 2021
SecFL: Confidential Federated Learning using TEEs D. Quoc Christof Fetzer FedML 21 16 0 03 Oct 2021
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation Alexandros Karargyris Renato Umeton Micah J. Sheller Alejandro Aristizabal Johnu George ... Poonam Yadav Michael Rosenthal M. Loda Jason M. Johnson Peter Mattson FedML 46 72 0 29 Sep 2021
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging Sarthak Pati Siddhesh P. Thakur İbrahim Ethem Hamamcı Ujjwal Baid Bhakti Baheti ... D. Kontos Alexandros Karargyris Renato Umeton Peter Mattson Spyridon Bakas LM&MA MedIm 76 44 0 26 Feb 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,707 0 18 Mar 2020