2 papers
cs.LG2025
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim +5
In this paper, we address the problem of \emph{cost-sensitive} hyperparameter optimization (HPO) built upon freeze-thaw Bayesian optimization (BO). Specifically, we assume a scenar…
cs.LG2025
FedRand: Enhancing Privacy in Federated Learning with Randomized LoRA Subparameter Updates
Sangwoo Park, Seanie Lee, Byungjoo Kim +1
Federated Learning (FL) is a widely used framework for training models in a decentralized manner, ensuring that the central server does not have direct access to data from local cl…