FLVoogd: Robust And Privacy Preserving Federated Learning

Tian, Yuhang, Wang, Rui, Qiao, Yanqi, Panaousis, Emmanouil, Liang, Kaitai

Open source

DOI
10.48550/arxiv.2207.00428
Published
2022
Container
Not recorded
Publisher
arXiv
Open access
yes

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Cite this work

BibTeX

@article{allodium:10.48550/arxiv.2207.00428,
  title = {FLVoogd: Robust And Privacy Preserving Federated Learning},
  author = {Tian, Yuhang and Wang, Rui and Qiao, Yanqi and Panaousis, Emmanouil and Liang, Kaitai},
  year = {2022},
  doi = {10.48550/arxiv.2207.00428},
  url = {https://doi.org/10.48550/arxiv.2207.00428}
}

RIS

TY  - JOUR
TI  - FLVoogd: Robust And Privacy Preserving Federated Learning
AU  - Tian, Yuhang
AU  - Wang, Rui
AU  - Qiao, Yanqi
AU  - Panaousis, Emmanouil
AU  - Liang, Kaitai
PY  - 2022
DO  - 10.48550/arxiv.2207.00428
UR  - https://doi.org/10.48550/arxiv.2207.00428
ER  -

APA

Yuhang, T., Rui, W., Yanqi, Q., Emmanouil, P., & Kaitai, L. (2022). FLVoogd: Robust And Privacy Preserving Federated Learning. https://doi.org/10.48550/arxiv.2207.00428

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