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 ...

ABSTRACT: Breast cancer is a deadly disease and radiologists recommend mammography to detect it at the early stages. This paper presents two types of HanmanNets using the information set concept for ...

This repository contains a comprehensive deep learning solution for Alzheimer's Disease Classification using state-of-the-art DenseNet architectures optimized with Optuna hyperparameter tuning. The ...

Investigate the possibility of integrating automated hyperparameter tuning into the machine learning pipeline using existing frameworks like Optuna. Automating the hyperparameter optimization process ...

Abstract: Diabetes is a life-threatening chronic condition af-fecting millions worldwide., making timely prediction and risk classification crucial for effective intervention. Various machine learning ...