Abstract: For distributed-drive electric vehicles, torque vectoring control based on model predictive control (MPC) has emerged as a preferred strategy to achieve superior performance across diverse ...

Hyperparameter tuning is critical to the success of cross-device federated learning applications. Unfortunately, federated networks face issues of scale, heterogeneity, and privacy; addressing these ...

The Automatic Tuner in the NVIDIA app finds the best overclock settings for the GPU and maintains that performance regularly. The Automatic Tuning feature is not ...

Abstract: The proposed work explores different machine learning hyperparameter tuning techniques to maximize model performance. By systematically adjusting hyperparameters, such as learning rates, ...

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.