A Syntactic Approach for Privacy-Preserving Federated Learning

Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das. A Syntactic Approach for Privacy-Preserving Federated Learning. In Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang, editors, ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020). Volume 325 of Frontiers in Artificial Intelligence and Applications, pages 1762-1769, IOS Press, 2020. [doi]

@inproceedings{ChoudhuryGSSPHD20,
  title = {A Syntactic Approach for Privacy-Preserving Federated Learning},
  author = {Olivia Choudhury and Aris Gkoulalas-Divanis and Theodoros Salonidis and Issa Sylla and Yoonyoung Park and Grace Hsu and Amar Das},
  year = {2020},
  doi = {10.3233/FAIA200290},
  url = {https://doi.org/10.3233/FAIA200290},
  researchr = {https://researchr.org/publication/ChoudhuryGSSPHD20},
  cites = {0},
  citedby = {0},
  pages = {1762-1769},
  booktitle = {ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020)},
  editor = {Giuseppe De Giacomo and Alejandro Catalá and Bistra Dilkina and Michela Milano and Senén Barro and Alberto Bugarín and Jérôme Lang},
  volume = {325},
  series = {Frontiers in Artificial Intelligence and Applications},
  publisher = {IOS Press},
  isbn = {978-1-64368-101-6},
}