Geo-decentralized federated learning (FL) can empower fully distributed model training for future large-scale 6G networks. Without the centralized parameter server. the peer-to-peer model synchronization in geo-decentralized FL would incur excessive communication overhead. Some existing studies optimized synchronization interval for communication efficiency. https://leoners.shop/product-category/fan/