Nurbek Tastan

Doctoral Researcher, MBZUAI.

I am Nurbek Tastan, currently pursuing a Doctor of Philosophy degree in Machine Learning. I am associated with the SPriNT-AI lab at MBZUAI, where I conduct my research under the guidance of my supervisor, Dr. Karthik Nandakumar. With over four years of professional experience as a machine learning researcher, I possess a comprehensive knowledge of the modern machine learning pipeline and strong mathematical and probabilistic thinking skills. I specialize in modeling complex machine learning, computer vision, deep learning, and distributed optimization algorithms. My research primarily focuses on the areas of federated learning and ensuring the trustworthiness of artificial intelligence systems.

selected publications

  1. CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss
    Nurbek Tastan, and Karthik Nandakumar
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2023
  2. CPAL
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    FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
    Nurbek Tastan, Samuel Horváth, Martin Takáč, and Karthik Nandakumar
    In The Second Conference on Parsimony and Learning (Proceedings Track) , Mar 2025
  3. Redefining Contributions: Shapley-Driven Federated Learning
    Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horvath, and Karthik Nandakumar
    In International Joint Conference on Artificial Intelligence (IJCAI) , Aug 2024
  4. Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
    Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, and Karthik Nandakumar
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2024