Achieving Flexible Local Differential Privacy in Federated Learning via Influence Functions

Cite

Text

Carey and Wu. "Achieving Flexible Local Differential Privacy in Federated Learning via Influence Functions." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025. doi:10.1007/978-3-032-06096-9_14

Markdown

[Carey and Wu. "Achieving Flexible Local Differential Privacy in Federated Learning via Influence Functions." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025.](https://mlanthology.org/ecmlpkdd/2025/carey2025ecmlpkdd-achieving/) doi:10.1007/978-3-032-06096-9_14

BibTeX

@inproceedings{carey2025ecmlpkdd-achieving,
  title     = {{Achieving Flexible Local Differential Privacy in Federated Learning via Influence Functions}},
  author    = {Carey, Alycia N. and Wu, Xintao},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2025},
  pages     = {240-258},
  doi       = {10.1007/978-3-032-06096-9_14},
  url       = {https://mlanthology.org/ecmlpkdd/2025/carey2025ecmlpkdd-achieving/}
}