Phase-HDC: Replacing Optimizer History with Gradient Thresholds in Discrete Phase Learning.

arXiv:2610.10630v1 Announce Type: cross Abstract: Training a compact model often needs far more memory than storing it, because the optimizer keeps its own records of past gradients. For a hyperdimensional classifier whose learned parameters are low-bit angles