Ozkara, Kaan

6 publications

ICLR 2026 MuonBP: Faster Muon via Block-Periodic Orthogonalization Ahmed Khaled, Kaan Ozkara, Tao Yu, Mingyi Hong, Youngsuk Park

AISTATS 2025 ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara, Bruce Huang, Ruida Zhou, Suhas Diggavi

AISTATS 2025 Stochastic Rounding for LLM Training: Theory and Practice Kaan Ozkara, Tao Yu, Youngsuk Park

ICML 2024 MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher

ICLR 2023 A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas Diggavi

NeurIPS 2021 QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas Diggavi