We are pleased to announce that our paper Federated Learning for Medical Image Analysis: Methods, Challenges, and Future Directions has been accepted for publication in Advanced Engineering Informatics.

Authors: Thuy Thuy Le, Phuong-Nam Tran, Nhat Truong Pham, Balachandran Manavalan, Li Shen, Choong Seon Hong, and Duc Ngoc Minh Dang.

This work presents a comprehensive review of federated learning for medical image analysis from 2020 to 2025, covering key challenges such as data heterogeneity, privacy preservation, communication efficiency, and limited annotations. The paper also discusses emerging directions including semi-supervised learning, self-supervised learning, domain adaptation, personalized federated learning, and foundation models for healthcare applications.

Congratulations to all authors on this achievement!