Identifying the best collaborators from a larger pool of candidates presents a significant challenge in many modern machine learning applications,...
In the rapidly evolving landscape of machine learning, federated learning (FL) has emerged as a crucial paradigm, particularly in regulated...
A schematic of the VaTD training scheme. Credit: Credit: Hong Kong University of Science and Technology A research team has...
The global human population is undergoing rapid growth, leading to substantial impacts and posing significant challenges to humanity. Among these...
Time–frequency image representations are then classified using features acquired from seven different famous convolutional neural network models. Initial attempts to...
We conducted extensive experiments on both standard and real-world datasets to address the following seven key research questions: Q1: How...
