IEEE

Federated Function-on-function Regression with an Efficient Gradient Boosting Algorithm for Privacy-Preserving Telemedicine

Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...
Frontiers

Correction: Impact of slope gradient on tree biomass, carbon sequestration, and ecological functions in Rayagada District, Odisha, India

Table 6. Comparative summary of slope/topography effects on aboveground biomass (AGB) and carbon stocks across selected studies (India, China, SE Asia, Africa). Funding for this article was ...
IEEE

Gradient-Aware Loss Function for Improved Learning in Speech Enhancement

Abstract: Conventional loss functions for gradient descent are designed mainly to assess output quality, with limited attention to gradient behavior. This study identifies the gradient inconsistency ...
Scientific Research Publishing

Friedman, J. H. (2001). Greedy Function Approximation: A Gradient Boosting Machine. The Annals of Statistics, 29, 1189-1232.

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...