Xuehui Han

Balancing privacy and accuracy: federated learning for multi-class student performance prediction with adaptive noise differential privacy

To enhance the accuracy of performance prediction while safeguarding student data privacy, this study proposes a federated learning (FL) framework based on a 9-layer convolutional neural network (CNN) and incorporates adaptive noise differential privacy (DP) techniques. The model...