Paper by Student Wu Nannan Accepted by IJCAI

Recently, the paper ‘FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity’ 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.