Devansh Gupta
About me
I am a fourth-year Computer Science Ph.D. student at the University of Southern California, where I am part of the CS Theory Group and the ODDS Group. I am advised by Meisam Razaviyayn and Vatsal Sharan.
I am interested in the theory of statistical learning and optimization under privacy, robustness, and memory constraints. My broader interests include foundational questions in these areas and applications aimed at making large-scale machine learning more efficient, robust, private, and safe.
Publications
ICML 2026
TPDP 2026
Efficient DP-SGD for LLMs with Randomized Clipping
TMLR 2026
PPAI 2025 · AAAI
A Stochastic Optimization Framework for Private and Fair Learning From Decentralized Data
AISTATS 2025
OPT 2024 · Oral
Inherent Privacy of Zeroth-Order Projected Gradient Descent
ICLR 2023
TPDP 2023
AFCP 2022 · Oral