Traditional brain cancer diagnosis and prediction methods rely on centralized data collection and processing, raising concerns about data privacy, security, and scalability. QFL facilitates this by implementing the model in quantum circuits for better efficiency and results and using federated learning for additional data privacy. The model can not be broken down as we are implementing a quantum computing-based machine learning model.