FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

Zhang et al. "FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I15.29617

[Zhang et al. "FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/zhang2024aaai-fedtgp/) doi:10.1609/AAAI.V38I15.29617

@inproceedings{zhang2024aaai-fedtgp,
  title     = {{FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning}},
  author    = {Zhang, Jianqing and Liu, Yang and Hua, Yang and Cao, Jian},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {16768-16776},
  doi       = {10.1609/AAAI.V38I15.29617},
  url       = {https://mlanthology.org/aaai/2024/zhang2024aaai-fedtgp/}
}