Federated Ensemble-Learning for Transport Mode Detection in Vehicular Edge Network

Md. Mustakin Alam, Tanjim Ahmed, Meraz Hossain, Mehedi Hasan Emo, Md. Kausar Islam Bidhan, Md. Tanzim Reza, Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Francesco Pupo, Giancarlo Fortino

Abstract: Highlights•Ensemble-Learning (RF, XGBoost, MLP) used in federated approach for higher prediction accuracy.•Federated approach ensures data privacy while training data locally.•FedMLP introduced for transportation mode detection using sensory data from edge devices.•FedEL technique uses majority voting and collaborates with RF and XGBoost for better performance.•FedMLP mistakes rectified by RF and XGBoost to improve overall performance in Intelligent Transportation System.

External IDs:dblp:journals/fgcs/AlamAHEBRAHPF23