Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience

Cite

Text

Huynh et al. "Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70362-1_4

Markdown

[Huynh et al. "Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/huynh2024ecmlpkdd-fastfedul/) doi:10.1007/978-3-031-70362-1_4

BibTeX

@inproceedings{huynh2024ecmlpkdd-fastfedul,
  title     = {{Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience}},
  author    = {Huynh, Thanh Trung and Nguyen, Trong Bang and Le Nguyen, Phi and Nguyen, Thanh Tam and Weidlich, Matthias and Nguyen, Quoc Viet Hung and Aberer, Karl},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {55-72},
  doi       = {10.1007/978-3-031-70362-1_4},
  url       = {https://mlanthology.org/ecmlpkdd/2024/huynh2024ecmlpkdd-fastfedul/}
}