निरुपम गुप्ता / Nirupam Gupta

I am a Tenure-Track Assistant Professor in the ML Section of the Department of Computer Science at University of Copenhagen (DIKU). If you wish to contact me, that information can be found on my CV.

Research. I work primarily on distributed machine learning (a.k.a. federated learning) algorithms, focusing on the challenges of robustness and privacy. Updated list of my publications can be found on my DBLP page. To learn about the basics of robustness in the case of distributed model training, check out my latest book Robust Machine Learning: Distributed Methods for Safe AI.
A quick introduction to this research problem, and its applicability to training models using unverified data, can be found in this lecture that I gave at a workshop organized by BIRS-CMO.

Teaching. I teach Privacy in Machine Learning (PriMaL) and Machine Learning B (MLB) at DIKU. These courses are offered in a hybrid format, and support fully remote participation allowing students from anywhere in the world to attend them. For more details on these courses, such as the registration procedure, please check out our website for ML courses at DIKU.

"Nothing is harder, yet nothing is more necessary, than to speak of certain things whose existence is neither demonstrable nor probable. ..."
- Hermann Hesse (The Glass Bead Game)

This page was last updated on Nov. 04, 2025.