Abstract: Recently, self-supervised learning has shown great potential in Graph Neural Networks (GNNs) through contrastive learning, which aims to learn discriminative features for each node without ...
Purpose: This study investigates the factors leading to college students’ negative learning behavior in small private online courses (SPOCs) and offers suggestions for the optimization of SPOC design ...
Optimizing the Numbers of Queries and Replies in Convex Federated Learning With Differential Privacy
Abstract: Federated learning (FL) empowers distributed clients to collaboratively train a shared machine learning model through exchanging parameter information. Despite the fact that FL can protect ...
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