Federated Learning with Privacy-Preserving Active Learning: A Min-Max Mutual Information Approach

Zahir Alsulaimawi. Federated Learning with Privacy-Preserving Active Learning: A Min-Max Mutual Information Approach. In International Conference on Artificial Intelligence in Information and Communication , ICAIIC 2024, Osaka, Japan, February 19-22, 2024. pages 503-508, IEEE, 2024. [doi]

@inproceedings{Alsulaimawi24,
  title = {Federated Learning with Privacy-Preserving Active Learning: A Min-Max Mutual Information Approach},
  author = {Zahir Alsulaimawi},
  year = {2024},
  doi = {10.1109/ICAIIC60209.2024.10463462},
  url = {https://doi.org/10.1109/ICAIIC60209.2024.10463462},
  researchr = {https://researchr.org/publication/Alsulaimawi24},
  cites = {0},
  citedby = {0},
  pages = {503-508},
  booktitle = {International Conference on Artificial Intelligence in Information and Communication , ICAIIC 2024, Osaka, Japan, February 19-22, 2024},
  publisher = {IEEE},
  isbn = {979-8-3503-4434-9},
}