ADMM-Based Training for Spiking Neural Networks
Training spiking neural networks (SNNs) remains a longstanding challenge due to their non-differentiable spike activation functions. Most existing approaches adapt methods designed for traditional artificial neural networks, such as backpropagation with surrogate gradients. While widely used, these surrogate techniques introduce… Read More »ADMM-Based Training for Spiking Neural Networks