Under heavy-tail class imbalance, subtracting the DP noise variance from Adam's second moment (DP-AdamBC) substantially improves learning of rare classes compared with DP gradient descent.
Scalable sec- ond order optimization for deep learning, 2021
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On the Performance of Differentially Private Optimization with Heavy-Tail Class Imbalance
Under heavy-tail class imbalance, subtracting the DP noise variance from Adam's second moment (DP-AdamBC) substantially improves learning of rare classes compared with DP gradient descent.