ICML "privacy-utility tradeoff" Papers

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A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization

Ashwinee Panda, Xinyu Tang, Saeed Mahloujifar et al.

ICML 2024posterarXiv:2212.04486

Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy

Ziqin Chen, Yongqiang Wang

ICML 2024poster

Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning

Saber Malekmohammadi, Yaoliang Yu, YANG CAO

ICML 2024posterarXiv:2406.03519

Proactive DP: A Multiple Target Optimization Framework for DP-SGD

Marten van Dijk, Nhuong Nguyen, Toan N. Nguyen et al.

ICML 2024poster

Split-and-Denoise: Protect large language model inference with local differential privacy

Peihua Mai, Ran Yan, Zhe Huang et al.

ICML 2024posterarXiv:2310.09130