Open access
Jul 2026
A hierarchical federated learning framework with FedNova, game-theoretic matching, and QKD-assisted privacy for the internet of vehicles
A hierarchical federated learning framework for software-defined vehicular fog computing that combines FedNova, RBPS, and matching to enable faster model adaptation to evolving attacks and support real-time safety applications where delays above 400 ms can compromise road safety.
Devendra Singh, Dhami, Ngnassi Djami et al.
· Frontiers in Artificial Inte... · 0 citations