Privacy Preserving Federated Learning for Student Dropout Prediction Using Sensor and EMA Data

Nadim, Muhammad Amin; Marsico, Emanuele; Di Fuccio, Raffaele

doi:10.1109/fllm67465.2025.11391036

Privacy Preserving Federated Learning for Student Dropout Prediction Using Sensor and EMA Data

Student attrition in higher education is a persistent global concern that undermines institutional sustainability, economic productivity, and social equity. Early and accurate identification of students at risk of dropout is therefore essential for timely and effective intervention. However, stri…