Data Quality and Federated Learning
Working Group

Mission Statement

This working group aims to advance collaborative medical AI research through secure and efficient federated learning implementations. The focus includes developing standardized workflows, ensuring data compatibility, and creating modular components with the end goal of enabling distributed learning across institutions while preserving data privacy and reliability. By fostering a community of academic, clinical, and industry experts, the group establishes best practices and innovative solutions that enhance the accessibility and impact of federated learning in medical imaging.