NSF Privacy-Preserving Data Sharing in Practice (PDaSP)
In our hyperconnected world, increasing computational power and the rapid growth of data offer vast opportunities for data-driven decision-making and scientific advancement. To harness these benefits responsibly, especially for training AI models, we need scalable technologies for privacy-preserving data sharing. Despite significant research progress, these technologies are still at varying stages of practical deployment. The […]