HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization
HUANet is a deep neural network framework that unrolls Alternating Direction Method of Multipliers (ADMM) iterations into sequential layers. It enforces equality constraints at every step using a correction stage and uses first-order optimality conditions in the training loss to ensure convergence to optimal solutions.