Mobility-Aware Multi-Model Fully Decentralized Federated Learning Framework for Vehicular Edge Computing
A mobility-aware multi-model fully decentralized federated learning (KM-MMDFL) framework is proposed that limits communication through a communication constraint and incorporates a joint peer and model exchange selection strategy to reduce communication overhead while ensuring reliable and beneficial model exchange bas...