Federated Learning Platform for Alation Machine Learning

Alation Computer Science, 2021–22

Liaison(s): Ian Danforth, Yuhong Sun, Abhimanyu Seth, Andrea Levy ’11
Advisor(s): Leif Zinn-Brooks
Students(s): Fred Qin (PM-F), Mengjun Zhao (PM-S), Jingyi Liu, Giovanni Castro, Anan Aramthanapon

Alation’s data catalog allows organizations to locate, govern, and extract insights from their data. The goal of this project is to create a Federated Learning Platform that allows Alation engineers to train machine learning models across customer data in a secure and privacy-preserving manner. This cutting edge distributed infrastructure will enable Alation to develop powerful new features tailored to customer needs that would otherwise be impossible to create.