Privacy
Fine-Tuning Pretrained Models for Privacy-Preserving Machine Learning
Researchers at Georgia State University have made significant breakthroughs in fine-tuning pretrained models for privacy-preserving machine learning, addressing challenges related to data sharing due to stringent privacy regulations or user apprehension. By introducing a system called BlindTuner, the researchers enabled privacy-preserving fine-tuning by training data-efficient image transformers directly on homomorphically