1. Learn from others and be yourself in heterogeneous federated learning;Wenke Huang;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2022
2. Rethinking architecture design for tackling data heterogeneity in federated learning;Liangqiong Qu;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2022
3. Federated class-incremental learning;Jiahua Dong;Proceedings of the IEEE/CVF conference on computer vision and pattern recognition,2022
4. Federated continual learning with weighted inter-client transfer;Jaehong Yoon;International Conference on Machine Learning,2021