23-050 TT - Differentially Private Machine Learning with optional Gift in Kind (CFI)

Background
The critical need for privacy-preserving data processing systems has been highlighted by the introduction of new privacy legislation, which places great accountability on companies that collect and process personal data. The Principal Investigators, He and Kamath, are conducting research to design improved methods and techniques for privacy-preserving machine learning and data cleaning. The Principal Investigators require a server system, consisting of a collection of individual servers networked together, for implementing and evaluating their methods. Desired functionality includes GPUs for training machine learning models, as well as powerful CPUs and sufficient memory for intensive data processing and transformation.