• Auburn University, Aug. 2023 - Present
  • Ph.D. student in Electrical and Computer Engineering
• Columbia University in the City of New York, Sep. 2021 - Feb. 2023
  • M.A. in Statistics
• China University of Mining and Technology (Beijing), Sep. 2016 - Jul. 2020
  • B.S. in Mathematics and Applied Mathematics

Contact

xzg0027@auburn.edu

Research Interest

1. Federated Learning
2. Distributed Optimization

Research Experiences

• Effective Activation Functions for Homomorphic Evaluation of Deep Neural Network, RIT, NY, USA (Advisor: Peizhao Hu Jul. 2019-Aug. 2019) = Applied Approximation Theory into the proof of properties in polynomial activation functions
  • Designed experiments for testing the assumption that the range of absolute area between the estimative and polynomial activation functions within the best approximation interval is fixed
  • Performed experiments using a nine-layer Convolutional Neural Networks (CNN) with datasets including MNIST, Fashion-MNIST and CIFAR-10

Skills

Skilled in Python, R