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.

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