IEEE

Mixture of Specialized Experts for Model-Heterogeneous Personalized Federated Learning

Abstract: Federated learning is a distributed machine learning paradigm designed to facilitate collaborative model training while preserving user data privacy. However, in practical scenarios, data ...
Frontiers

Data-Driven Approaches for Sustainable Geoscience: Machine Learning in Mineral Resources, Water Management, and Environmental Resilience

Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...
IEEE

Knowledge Graph Representation of Felder-Silverman Learning Style Model for Computing Education

Abstract: This research focuses on adapting the Felder-Silverman Learning Style Model (FSLSM) questionnaire according to a specific computing course. In this approach, we transform FSLSM questions ...