arxiv
PublishedJune 5, 2026 at 4:00 AM
DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum
Publisher summary· verbatim
arXiv:2606.05435v1 Announce Type: new Abstract: Differentially private stochastic gradient descent (DP-SGD) has become the standard framework for privacy-preserving machine learning, yet its reliance on a fixed gradient clipping threshold to limit sensitivity remains a significant practical limitati
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Originally published on arxiv ↗