@inproceedings{conf/ijcnn/AhmadCRGGCL23,
  added-at = {2024-05-07T00:00:00.000+0200},
  author = {Ahmad, Adnan and Chau, Vinh Loi and Robles-Kelly, Antonio and Gao, Shang and Gao, Longxiang and Chi, Lianhua and Luo, Wei},
  biburl = {https://www.bibsonomy.org/bibtex/2c7ea70a2245f8dabc6c8f4574813fd63/dblp},
  booktitle = {IJCNN},
  crossref = {conf/ijcnn/2023},
  ee = {https://doi.org/10.1109/IJCNN54540.2023.10191090},
  interhash = {37a7b5868d7c42dda92caa46a394ad7c},
  intrahash = {c7ea70a2245f8dabc6c8f4574813fd63},
  isbn = {978-1-6654-8867-9},
  keywords = {dblp},
  pages = {1-8},
  publisher = {IEEE},
  timestamp = {2024-05-13T09:01:38.000+0200},
  title = {Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning.},
  url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2023.html#AhmadCRGGCL23},
  year = 2023
}

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