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ORCIDKaan Ozkara
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2020 – today
- 2025
[c6]Kaan Ozkara, Bruce Huang, Ruida Zhou, Suhas N. Diggavi:
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning. AISTATS 2025: 3025-3033- [c5]Kaan Ozkara, Tao Yu, Youngsuk Park:
Stochastic Rounding for LLM Training: Theory and Practice. AISTATS 2025: 4402-4410 - [i9]Kaan Ozkara, Tao Yu, Youngsuk Park:
Stochastic Rounding for LLM Training: Theory and Practice. CoRR abs/2502.20566 (2025) - [i8]Kaan Ozkara, Ruida Zhou, Suhas N. Diggavi:
SPIRE: Conditional Personalization for Federated Diffusion Generative Models. CoRR abs/2506.12303 (2025) - [i7]Krishna Praneet Gudipaty, Walid A. Hanafy, Kaan Ozkara, Qianlin Liang, Jesse Milzman, Prashant J. Shenoy, Suhas N. Diggavi:
MEL: Multi-level Ensemble Learning for Resource-Constrained Environments. CoRR abs/2506.20094 (2025) - [i6]Ahmed Khaled, Kaan Ozkara, Tao Yu, Mingyi Hong, Youngsuk Park:
MuonBP: Faster Muon via Block-Periodic Orthogonalization. CoRR abs/2510.16981 (2025) - 2024
- [c4]Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher:
MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent. ICML 2024 - [i5]Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher:
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent. CoRR abs/2401.08893 (2024) - [i4]Kaan Ozkara, Bruce Huang, Ruida Zhou, Suhas N. Diggavi:
Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning. CoRR abs/2402.12537 (2024) - 2023
- [c3]Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy. ICLR 2023 - [c2]Kaan Ozkara, Bruce Huang, Suhas N. Diggavi:
Personalized PCA for Federated Heterogeneous Data. ISIT 2023: 168-173 - 2022
- [i3]Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy. CoRR abs/2207.01771 (2022) - 2021
- [c1]Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi:
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning. NeurIPS 2021: 3622-3634 - [i2]Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi:
QuPeL: Quantized Personalization with Applications to Federated Learning. CoRR abs/2102.11786 (2021) - [i1]Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi:
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning. CoRR abs/2107.13892 (2021)
Coauthor Index
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