This paper presents an extensive mathematical analysis of cutting-edge artificial neural network architectures optimized explicitly for edge computing devices. Leveraging sophisticated mathematical formulations and innovative research, we unveil the intricacies of neural network design and optimization in the context of edge computing. Through rigorous mathematical derivation, empirical validations, and extensive literature review, we demonstrate the efficacy and potential of advanced neural networks for edge-centric applications.