news

KU Leuven Department of Electrical Engineering

• When: December 18th, 2025
• Where: KU Leuven, Belgium
• Title: “FedMinibatch: Federated Synchronous SGD and Its Equivalence to Centralized Training”
• Focus: Presented federated learning concepts, architectures, and real-world applications in healthcare, connecting theoretical foundations with practical implementations in MS research.

Medical Informatics Europe 2026 - Two Papers Submitted

• Submission Date: December 2025
• Conference: MIE 2026 (Medical Informatics Europe)
• Conference Date: May 2026
• Location: Genoa, Italy
• Papers Submitted:

1. “Good for All, Not Good Enough for One: Reuse Dilemma in Federated Learning”
   • Explores the challenges and opportunities in reusing federated learning models across different contexts and institutions.
2. “Client Participation per Round in Federated Learning for Multiple Sclerosis with Real-World Data”
   • Investigates optimal client participation strategies in federated learning workflows for MS research using real-world clinical data.

Flower Monthly Meeting

• When: December 3rd, 2024
• Format: Virtual Meeting
• Title: “Transforming Multiple Sclerosis Research: Advancing Disability Progression Insights through Practical and Precise Federated Learning using Real-World Data”
• Focus: Shared insights on personalized federated learning approaches for healthcare applications, drawing from our recent work on MS disability progression prediction and the FLkit project.

Roche Federated Learning Team for Multiple Sclerosis

• When: November 5th, 2025
• Where: Roche (Virtual/In-Person)
• What: Presentation to the Federated Learning Team working on Multiple Sclerosis
• Focus: Shared research findings and practical insights on the latest federated learning approaches for MS research, including our work on personalized federated learning and the FLkit framework.

North American Society of AI in MS

• When: November 4th, 2025
• Where: Virtual/In-Person
• Title: “Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data”
• Focus: Discussed the potential of federated learning to advance MS research while preserving patient privacy, highlighting our work with the MSBase registry and personalized federated learning approaches.

🧠 ECTRIMS 2024

• 🗓️ When: September 2024
• 📍 Where: Copenhagen, Denmark 🇩🇰
• 🎤 What: Presented an abstract and poster titled:
  “Transforming Multiple Sclerosis Research: Advancing Disability Progression Insights through Practical and Precise Federated Learning using Real-World Data” 🩺📊
• 💡 Focus: Showcased the potential of federated learning for advancing insights into disability progression in Multiple Sclerosis using Real-World Data.

💡 MIE 2024

• 🗓️ When: August 2024
• 📍 Where: Athens, Greece 🇬🇷
• 🎤 What: Presented a paper titled:
  “Unlocking the Power of Real-World Data: A Framework for Sustainable Healthcare” 🏥🌍
• 💡 Focus: Proposed a practical framework to leverage Real-World Data for achieving sustainable healthcare systems and driving impactful insights.