INO-SGD: Addressing Utility Imbalance under Individualized Differential Privacy
arXiv:2605.07930v1 Announce Type: cross
Abstract: Differential privacy (DP) is widely employed in machine learning to protect confidential or sensitive training data from being revealed. As data owners gain greater control over their data due to perso…