Assessing the Implications of Data Heterogeneity on Privacy-Enhanced Federated Learning: A Comprehensive Examination Using CIFAR-10

Phoebe Joanne Go, Victor Calinao, Melchizedek Alipio. Assessing the Implications of Data Heterogeneity on Privacy-Enhanced Federated Learning: A Comprehensive Examination Using CIFAR-10. In IEEE Region 10 Conference, TENCON 2023, Chiang Mai, Thailand, October 31 - Nov. 3, 2023. pages 507-512, IEEE, 2023. [doi]

@inproceedings{GoCA23,
  title = {Assessing the Implications of Data Heterogeneity on Privacy-Enhanced Federated Learning: A Comprehensive Examination Using CIFAR-10},
  author = {Phoebe Joanne Go and Victor Calinao and Melchizedek Alipio},
  year = {2023},
  doi = {10.1109/TENCON58879.2023.10322318},
  url = {https://doi.org/10.1109/TENCON58879.2023.10322318},
  researchr = {https://researchr.org/publication/GoCA23},
  cites = {0},
  citedby = {0},
  pages = {507-512},
  booktitle = {IEEE Region 10 Conference, TENCON 2023, Chiang Mai, Thailand, October 31 - Nov. 3, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-0219-6},
}