3 papers
eess.SY2026
Hierarchical Multi-Task Federated Learning in VANETs
M. Saeid HaghighiFard, Sinem Coleri
Vehicular Ad hoc Networks (VANETs) increasingly rely on federated learning (FL) to enable collaborative intelligence without sharing raw sensory data. However, most existing vehicu…
cs.CR2025
Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks
M. Saeid HaghighiFard, Sinem Coleri
Hierarchical Federated Learning (HFL) has recently emerged as a promising solution for intelligent decision-making in vehicular networks, helping to address challenges such as limi…
cs.LG2024
Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection
M. Saeid HaghighiFard, Sinem Coleri
Hierarchical Federated Learning (HFL) faces the significant challenge of adversarial or unreliable vehicles in vehicular networks, which can compromise the model's integrity throug…