Recently, the paper ‘From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching’ by our lab’s student Wu Nannan has been accepted by the international conference International Joint Conference on Artificial Intelligence (IJCAI). IJCAI is one of the most important international conferences in the field of artificial intelligence and a Category-A international academic conference recommended by the China Computer Federation (CCF), with high academic influence.