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
Late Abstract Submission is open. See details below.
▪ 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.
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 24th of March
Notification of Acceptance: 2nd April 2025
Camera-ready deadline: 16th April 2025
Prepare your paper with maximum of 4 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/). Send your manuscript to fani.deligianni@glasgow.ac.uk by the deadline below.
Late abstracts will not be included in the workshop proceedings. They are going to be presented during the workshop event only. We accept recently published work.
Deadline for late abstract submission: 31st May 2025
Notification of Acceptance: 10th of June 2025