Nirupam Gupta
Scholar

Nirupam Gupta

Google Scholar ID: WmMys-YAAAAJ
University of Copenhagen
Machine LearningDistributed OptimizationRobustnessPrivacy
Citations & Impact
All-time
Citations
1,020
 
H-index
18
 
i10-index
27
 
Publications
20
 
Co-authors
31
list available
Resume (English only)
Academic Achievements
  • Authored the book 'Robust Machine Learning: Distributed Methods for Safe AI'; Updated list of publications can be found on his DBLP page.
Research Experience
  • Gave a lecture on the basics of robustness in distributed model training at a workshop organized by BIRS-CMO; Teaches Privacy in Machine Learning (PriMaL) and Machine Learning B (MLB) at DIKU.
Background
  • Tenure-Track Assistant Professor in the ML Section of the Department of Computer Science at University of Copenhagen (DIKU). Works primarily on distributed machine learning (a.k.a. federated learning) algorithms, focusing on the challenges of robustness and privacy.
Miscellany
  • Quoted from Hermann Hesse: '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)