In the realm of machine learning, fusion set architectures have emerged as a effective paradigm for enhancing model performance. These architectures leverage the idea of integrating multiple sets of data or features to obtain a more in-depth representation. By leveraging the strengths of distinct components, fusion set architectures can address the