A Federated Learning Framework for Brain Tumour Detection Using Xception Convolutional Neural Network with CKKS-Based Secure Aggregation
Federated learning (FL) enables collaborative medical image analysis without centralising sensitive data, making it highly suitable for privacy-critical applications such as brain tumour detection from magnetic resonance imaging (MRI). However, conventional FL frameworks remain vulnerable to parameter-level information...