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News/Differentially Private Neural Network Training Under the Hidden State Assumption
arxiv
PublishedJuly 23, 2026 at 4:00 AM
▲bullish

Differentially Private Neural Network Training Under the Hidden State Assumption

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Publisher summary· verbatim

arXiv:2407.08233v3 Announce Type: replace Abstract: Current differentially private learning paradigms face a severe utility bottleneck: DP-SGD degrades performance through noise accumulation over training steps, while aggregation-based approaches such as PATE suffer from data inefficiency due to dis

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