Decentralized Policy-Based Private Analytics
Jason Waterman (Computer Science)
Ubiquitous sensing and data collection through our personal devices and our environment have created the potential to offer innovative services and applications while creating significant value from our personal data. These data are often used for a variety of personal and public Machine Learning (ML) models, such as building targeted advertising, content recommendation, and health analytics. Building these models present several challenges: trust, as the user requires guarantees that their provided data will not be misused by the service provider; security, as these rich data resources are valuable to criminals; and scalability, as the costs of building and maintaining large data-centers can be prohibitive.
Strong Python programming skills are a must. In addition, students should have already taken CMPU-203 and CMPU-224.
How should students express interest in this project?
Students interested in this project should email me to set up a meeting to discuss the project.