The rise of AI and machine learning in CAE software demands access to large, high-quality datasets. However, traditional data sharing methods face significant limitations, including data accessibility, privacy concerns, and scalability challenges. CAEBloX addresses these issues by introducing a revolutionary federated learning framework that empowers collaboration in CAE while protecting sensitive data.