EFFICIENT FLOOD PREDICTION THROUGH FEDERATED LEARNING FRAMEWORK
Keywords:
Flood prediction, Federated Learning, Decentralized machine learning, Data privacy, Early warning systems, Meteorological data, Hydrological data, Geographical data, Collaborative model training, Real-time forecasting.Abstract
Floods are among the most devastatingnatural disasters, causing significantloss of life, property, and infrastructure.Accurate and timely flood prediction iscrucial for effective disastermanagement
References
Shoaib Farooq, Rabia Tehseen, Junaid Nasir Qureshi, Uzma Omer, "FFM: Flood Forecasting Model using Federated Learning," IEEE Access,
Monalisha Pattnaik, Sudev Kumar Padhi, Bagati Sudarsan Patro, Ashirbad Mishra, "Federated Learning based Rain Gauge Station Network Design for Early Flood Prediction in Mahanadi River Basin," Advancing Disaster Management Through Federated
Learning, Cambridge Scholars Publishing, 2025.
Downloads
Published
2024-04-09
How to Cite
Mrs.N.SRIDEVI, MATTURI INDU PRIYA, KAVALI SUPRIYA, HANMANNOLLA SWATHI. (2024). EFFICIENT FLOOD PREDICTION THROUGH FEDERATED LEARNING FRAMEWORK. Journal of Computational Analysis and Applications (JoCAAA), 33(4), 793–799. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2500
Issue
Section
Articles
