Tastan, Nurbek

12 publications

ICLR 2026 LoFT: Low-Rank Adaptation That Behaves like Full Fine-Tuning Nurbek Tastan, Stefanos Laskaridis, Martin Takáč, Karthik Nandakumar, Samuel Horváth

ICLR 2026 MOLM: Mixture of LoRA Markers Samar Fares, Nurbek Tastan, Noor Hazim Hussein, Karthik Nandakumar

ICLR 2026 Stochastic Self-Organization in Multi-Agent Systems Nurbek Tastan, Samuel Horváth, Karthik Nandakumar

ICCV 2025 A Framework for Double-Blind Federated Adaptation of Foundation Models Nurbek Tastan, Karthik Nandakumar

ICLRW 2025 A Framework for Double-Blind Federated Adaptation of Foundation Models Nurbek Tastan, Karthik Nandakumar

ICML 2025 Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Nurbek Tastan, Samuel Horváth, Karthik Nandakumar

TMLR 2025 CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning Nurbek Tastan, Samuel Horváth, Karthik Nandakumar

CPAL 2025 FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan, Samuel Horváth, Martin Takáč, Karthik Nandakumar

WACV 2024 A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection Anas Al-lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar

CVPR 2024 Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar

IJCAI 2024 Redefining Contributions: Shapley-Driven Federated Learning Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar

CVPR 2023 CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss Nurbek Tastan, Karthik Nandakumar