Nirupam Gupta

Nirupam Gupta is an Assistant Professor at the Department of Computer Science (DIKU), University of Copenhagen. His research focuses on robustness, privacy, and fairness in distributed machine learning systems, with particular emphasis on federated learning and Byzantine fault tolerance. He actively contributes to the design of secure, resilient, and privacy-preserving algorithms for collaborative AI systems.

He teaches courses in

• Privacy in Machine Learning (PriMaL)
• Machine Learning B (MLB)

both offered in hybrid formats with full remote participation support. His latest book, Robust Machine Learning: Distributed Methods for Safe AI, provides foundational insights into the field.

Key research themes in his work include:

• Byzantine-Robust Optimization
• Differential Privacy in Federated Systems
• Personalization under Adversarial Conditions
• Secure Aggregation Techniques

Contact: nigu@di.ku.dk