Research

Research Interests

I am deeply engrossed in the convergence analysis of algorithms deployed in Federated and Distributed Learning. My passion lies in exploring and analyzing the theoretical aspects of these algorithms to enhance their performance and reliability.

• Convergence Analysis
• Mathematical Optimization in Distributed Machine Learning
• Robustness of Federated Learning Algorithms
• Non-Linear Analysis

Core Subjects Taken

• Applied Optimization Methods in Machine Learning
• Machine Learning
• Distributed & Federated Machine Learning
• Functional Analysis
• Probability Theory & Statistics

Skills

• LaTeX
• Mathematica
• Java
• Python
• C

Teaching Assistant Duties

• TA for Linear Optimization, Winter 2024
• TA for Discrete Mathematics, Monsoon 2023