The Federated Knowledge Graph Learning System improves scalability and privacy compared to centralised systems. It also increases the accuracy and robustness of knowledge graph representations through the combination of data and knowledge from multiple sources. It is still a relatively new and evolving area of research and there is much that remains to be explored and understood about its potential benefits and limitations.