@inproceedings{huang2023understanding,title={Understanding convergence and generalization in federated learning through feature learning theory},author={Huang, Wei and Shi, Ye and Cai, Zhongyi and Suzuki, Taiji},booktitle={The Twelfth International Conference on Learning Representations},year={2024},}
2023
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
Zhongyi Cai, Ye Shi, Wei Huang, and 1 more author
Advances in Neural Information Processing Systems, 2023
@article{cai2024fed,title={Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning},author={Cai, Zhongyi and Shi, Ye and Huang, Wei and Wang, Jingya},journal={Advances in Neural Information Processing Systems},volume={36},year={2023},}
Fedtp: Federated learning by transformer personalization
Hongxia Li#, Zhongyi Cai#, Jingya Wang, and 4 more authors
IEEE transactions on neural networks and learning systems, 2023
@article{li2023fedtp,title={Fedtp: Federated learning by transformer personalization},author={Li#, Hongxia and Cai#, Zhongyi and Wang, Jingya and Tang, Jiangnan and Ding, Weiping and Lin, Chin-Teng and Shi, Ye},journal={IEEE transactions on neural networks and learning systems},year={2023},publisher={IEEE},}
