DP-AdamW: Investigating Decoupled Weight Decay and Bias Correction in Private Deep Learning

Jay Chooi, Kevin Cong, Russell Li +1

As deep learning methods increasingly utilize sensitive data on a widespread scale, differential privacy (DP) offers formal guarantees to protect against information leakage during…