Federated vs. Centralized Machine Learning under Privacy-elastic Users: A Comparative Analysis

Georgios Drainakis, Konstantinos V. Katsaros, Panagiotis Pantazopoulos, Vasilis Sourlas, Angelos Amditis. Federated vs. Centralized Machine Learning under Privacy-elastic Users: A Comparative Analysis. In 19th IEEE International Symposium on Network Computing and Applications, NCA 2020, Cambridge, MA, USA, November 24-27, 2020. pages 1-8, IEEE, 2020. [doi]

@inproceedings{DrainakisKPSA20,
  title = {Federated vs. Centralized Machine Learning under Privacy-elastic Users: A Comparative Analysis},
  author = {Georgios Drainakis and Konstantinos V. Katsaros and Panagiotis Pantazopoulos and Vasilis Sourlas and Angelos Amditis},
  year = {2020},
  doi = {10.1109/NCA51143.2020.9306745},
  url = {https://doi.org/10.1109/NCA51143.2020.9306745},
  researchr = {https://researchr.org/publication/DrainakisKPSA20},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {19th IEEE International Symposium on Network Computing and Applications, NCA 2020, Cambridge, MA, USA, November 24-27, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-8326-8},
}