Kaan Ozkara

15 papers A* 3A 2B 1Journal 9
YearRankTypeTitle / Venue / Authors
2025 A conf
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning.
AISTATS
Kaan Ozkara, Bruce Huang, Ruida Zhou, Suhas N. Diggavi
2025 J jnl
MEL: Multi-level Ensemble Learning for Resource-Constrained Environments.
CoRR
Krishna Praneet Gudipaty, Walid A. Hanafy, Kaan Ozkara, Qianlin Liang, Jesse Milzman, Prashant J. Shenoy, Suhas N. Diggavi
2025 J jnl
MuonBP: Faster Muon via Block-Periodic Orthogonalization.
CoRR
Ahmed Khaled, Kaan Ozkara, Tao Yu, Mingyi Hong, Youngsuk Park
2025 J jnl
SPIRE: Conditional Personalization for Federated Diffusion Generative Models.
CoRR
Kaan Ozkara, Ruida Zhou, Suhas N. Diggavi
2025 A conf
Stochastic Rounding for LLM Training: Theory and Practice.
AISTATS
Kaan Ozkara, Tao Yu, Youngsuk Park
2025 J jnl
Stochastic Rounding for LLM Training: Theory and Practice.
CoRR
Kaan Ozkara, Tao Yu, Youngsuk Park
2024 J jnl
Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning.
CoRR
Kaan Ozkara, Bruce Huang, Ruida Zhou, Suhas N. Diggavi
2024 A* conf
MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent.
ICML
Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
2024 J jnl
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent.
CoRR
Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
2023 A* conf
A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy.
ICLR
Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi
2023 B conf
Personalized PCA for Federated Heterogeneous Data.
ISIT
Kaan Ozkara, Bruce Huang, Suhas N. Diggavi
2022 J jnl
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy.
CoRR
Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi
2021 A* conf
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning.
NeurIPS
Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi
2021 J jnl
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning.
CoRR
Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi
2021 J jnl
QuPeL: Quantized Personalization with Applications to Federated Learning.
CoRR
Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi