2026
Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks
ICML 2026poster
The deployment of quantized neural networks on edge devices, combined with privacy regulations like GDPR, creates an urgent need for machine unlearning in quantized models. However, existing methods face critical challenges: they induce forgetting by training models to memorize incorrect labels, con…