We invite researchers to submit their works on methods and datasets on Federated and Privacy Preserving AI in Biomedical Applications. Papers accepted will be presented via oral or poster presentation format to enable discussion among the community. Papers will be published in IEEE ICDCS 2025 workshop proceedings.

Submission system is open here: EasyChair ICDCSW 2025

Scope:
▪ Federated learning frameworks and architectures for biomedical data.

▪ Privacy-preserving techniques in AI and their application to healthcare

▪ Case studies and real-world applications of federated learning in biomedical research.

▪ Regulatory and ethical considerations in privacy-preserving AI.

▪ Tools and platforms for implementing federated learning and privacy preserving AI.


Submission Guidelines:
Prepare an anonymous paper with maximum of 11 pages (including figures, tables, appendices, and references). All paper submissions should follow the IEEE 8.5″ x 11″ two-column format using 10pt fonts and the IEEE Conference template (downloadable by selecting “Conferences” in the IEEE-Template Selector  https://template-selector.ieee.org/)


Deadline for Full Paper Submission: 10th March 2025 Extended to 17th of March

Notification of Acceptance: 2nd April 2025

Camera-ready deadline: 16th April 2025