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2024 ICML ICML 2024

Differentially Private Bias-Term Fine-tuning of Foundation Models

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

Topics

Artificial Intelligence > Core AI > Foundation Models Machine Learning > Application Areas > Efficient Computing Deep Learning > Techniques > Pretraining

Keywords

parameter efficient privacy preserving differentially private large pre-trained model bias-term fine-tuning bitfit
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