FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning

Cite

Text

Chen et al. "FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I10.29007

Markdown

[Chen et al. "FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/chen2024aaai-feddat/) doi:10.1609/AAAI.V38I10.29007

BibTeX

@inproceedings{chen2024aaai-feddat,
  title     = {{FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning}},
  author    = {Chen, Haokun and Zhang, Yao and Krompass, Denis and Gu, Jindong and Tresp, Volker},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {11285-11293},
  doi       = {10.1609/AAAI.V38I10.29007},
  url       = {https://mlanthology.org/aaai/2024/chen2024aaai-feddat/}
}