Advanced Federated Learning-Empowered Edge-Cloud Framework for School Safety Prediction and Emergency Alert System
Debashis Das, Uttam Ghosh, Pushpita Chatterjee, Sachin S. Shetty · 2023
The safety and security of educational environments are paramount concerns for communities worldwide. Recent incidents of violence in schools underscore the urgent need for innovative and proactive safety measures that extend beyond traditional reactive approaches. In response to this imperative, we propose an Advanced Federated Learning-Empowered Edge-Cloud Framework for School Safety Prediction and Emergency Alert System, which is a groundbreaking solution designed to address the pressing challenges of ensuring school safety. In a world where educational institutions face escalating threats, this framework leverages the innovative approach of federated learning, enabling real-time threat detection and proactive alert generation while preserving data privacy. Challenges such as delayed response times, false alarms, and limited threat assessment protocols are met head-on through the integration of predictive algorithms, sensors, and edge computing. This transformative system not only revolutionizes security but also prioritizes the psychological well-being of students, staff, and visitors, fostering an environment conducive to learning. Its significance lies in its potential to prevent incidents, minimize harm, and bolster community confidence in school safety measures, ultimately contributing to the wellbeing and growth of future generations. Through this pioneering work, we aim to redefine school safety paradigms, making educational institutions safer and more secure for all.