DISTRIBUTED GRAPH NEURAL NETWORK-BASED ANTI-JAMMING FOR SCALABLE AND ENERGY-CONSTRAINED IOT NETWORKS
This paper presents a distributed graph neural network (GNN) framework for anti-jamming in large-scale IoT systems with dynamic interference and strict energy constraints. The proposed approach enables each node to make decisions using only local observations, eliminating reliance on centralized coordination while main...