Augmented Lagrangian Predictive Coding
Summary
PC-ALM introduces Augmented Lagrangian Predictive Coding as a layer-local alternative to backprop, enabling 1000-layer residual MLPs to train without global gradient flow. It adds per-layer dual variables to propagate credit signals, achieving near-backprop performance on deep networks and offering brain-inspired insights for energy-efficient learning.