Attri-Fed: A GIB Framework for Attribute-Based Privacy and Communication-Efficient Federated Learning

Ahmet Faruk Saz, Yashas Malur Saidutta, Faramarz Fekri, Mustafa Riza Akdeniz, Brandon Edwards, Nageen Himayat. Attri-Fed: A GIB Framework for Attribute-Based Privacy and Communication-Efficient Federated Learning. In 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023, Shanghai, China, September 25-28, 2023. pages 366-370, IEEE, 2023. [doi]

@inproceedings{SazSFAEH23,
  title = {Attri-Fed: A GIB Framework for Attribute-Based Privacy and Communication-Efficient Federated Learning},
  author = {Ahmet Faruk Saz and Yashas Malur Saidutta and Faramarz Fekri and Mustafa Riza Akdeniz and Brandon Edwards and Nageen Himayat},
  year = {2023},
  doi = {10.1109/SPAWC53906.2023.10304534},
  url = {https://doi.org/10.1109/SPAWC53906.2023.10304534},
  researchr = {https://researchr.org/publication/SazSFAEH23},
  cites = {0},
  citedby = {0},
  pages = {366-370},
  booktitle = {24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023, Shanghai, China, September 25-28, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-9626-1},
}