AI RESEARCH
DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling
arXiv CS.AI
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ArXi:2509.03472v2 Announce Type: replace-cross Differentially-Private SGD (DP-SGD) and its adaptive variant DP-Adam are powerful techniques to protect user privacy when using sensitive data to train neural networks. During