Biography and Research Information
OverviewAI-generated summary
Sudeepa Panta's research focuses on the application of machine learning techniques to model complex systems. Their recent publication, "Non-Linear Polynomial Approximations of the Sigmoid for Plain and Encrypted Models," explores methods for approximating sigmoid functions in both standard and encrypted computational environments. This work was completed in collaboration with Qinghua Li from the University of Arkansas at Fayetteville, with whom Panta has co-authored one publication. Panta's research contributes to the field of computational modeling and machine learning.
Metrics
- Publications: 1
Selected Publications
-
Non-Linear Polynomial Approximations of the Sigmoid for Plain and Encrypted Models (2025)
Collaboration Network
Top Collaborators
- Non-Linear Polynomial Approximations of the Sigmoid for Plain and Encrypted Models
Similar Researchers
Based on overlapping research topics