Successful Workshop on Federated Ensemble Learning at ISMB 2024
We are pleased to announce the successful completion of the workshop titled ‘Federated Ensemble Learning for Biomedical Data’, held during the prestigious ISMB 2024 conference in Montreal on July 12th. The workshop was organized by Anne-Christin Hauschild, Youngjun Park, Hryhorii Chereda, and Maryam Moradpour as part of the FAIrPaCT project.
The tutorial provided a deep dive into the theory and practice of federated learning and federated ensemble learning, focusing on the advantages of these techniques in biomedical data analysis. The workshop featured hands-on demonstrations of federated ensemble learning methods, including the implementation of Federated Random Forest and Ensemble-GNN using Python.
Participants worked with breast cancer data, incorporating both clinical and gene expression features, and learned how to apply these federated methods in a privacy-preserving setup. The tutorial was designed to equip participants with the theoretical understanding and practical skills necessary to deploy federated models in real-world biomedical applications.
The workshop received positive feedback from participants for its comprehensive coverage of topics and its ability to blend theory with practical insights. By the end of the session, attendees had gained valuable experience in privacy-preserving techniques for biomedical data analysis, furthering their understanding of how to securely handle sensitive data within a federated learning framework.
The success of this workshop highlights the growing importance of federated ensemble learning in biomedical research and demonstrates its potential to enhance data security while promoting collaborative scientific advancement.
Join us for the second FAIrPaCT workshop: A Federal Artificial Intelligence Framework for Pancreatic Cancer Treatment
We are excited to announce the second upcoming FAIrPaCT project workshop scheduled for February 26th and 27th at VSS Med 24, Von-Siebold-Straße 3, 37075 Göttingen. Funded under the National Decade Against Cancer initiative by the BMBF, this event aims to bring together leading minds in federal artificial intelligence (AI) and pancreatic cancer research to foster advances in personalized medicine and treatment strategies.
Important points of the workshop:
Welcome Coffee: Start the day with an opportunity to network with peers and professionals in an informal setting.
Join us for two exceptional keynote talks at our upcoming workshop:
- Professor Dr. David Blumenthal from Friedrich-Alexander University Erlangen-Nürnberg will present on “Subtle Leakage in Federated Learning and How to Deal with It”.
- Later, Professor Dr. Ho Chung from Philipps-University Marburg will present on “Single-query Distributed Learning with Defined Privacy Guarantees”.
This workshop is not only a meeting of minds but also a step towards revolutionizing pancreatic cancer treatment. Our collaboration with major German medical centers, including the University Medical Center Göttingen and the University Hospitals Giessen and Marburg, underlines our commitment to using unique and extensive data for groundbreaking work.
We invite researchers, students, clinicians, patient advocates, and anyone interested in the intersection of AI and healthcare to join us.
For more information and to register for the workshop, contact the following address:
Maryam Moradpour
maryam.moradpour@med.uni-goettingen.de
Let’s make a difference together
