Abstract: With the rapid growth of distributed learning and workflow orchestration, Federated Edge Learning has emerged as a solution, enabling multiple edge devices to collaboratively train a large ...

Abstract: This paper focuses on the integration of Graph Convolution Network and Graph Attention Network, two cutting-edge models in graph neural networks, aiming to explore a new paradigm of graph ...