FEDGNNREC: A FEDERATED GRAPH NEURAL NETWORK FRAMEWORK FOR PRIVACY-PRESERVING RECOMMENDATIONS
A federated learning, which is merged with GNN to allow decentralised training whilst maintaining the relational structure of data in terms of interaction, is proposed, which demonstrates the usefulness of federated graph-based learning in order to have secure and accurate recommendation systems.