FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning

Ensiye Kiyamousavi, Boris Kraychev, Ivan Koychev. FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning. In Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal 0001, editors, IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. pages 4308-4317, IEEE, 2023. [doi]

@inproceedings{KiyamousaviKK23,
  title = {FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning},
  author = {Ensiye Kiyamousavi and Boris Kraychev and Ivan Koychev},
  year = {2023},
  doi = {10.1109/BigData59044.2023.10386581},
  url = {https://doi.org/10.1109/BigData59044.2023.10386581},
  researchr = {https://researchr.org/publication/KiyamousaviKK23},
  cites = {0},
  citedby = {0},
  pages = {4308-4317},
  booktitle = {IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023},
  editor = {Jingrui He and Themis Palpanas and Xiaohua Hu and Alfredo Cuzzocrea and Dejing Dou and Dominik Slezak and Wei Wang and Aleksandra Gruca and Jerry Chun-Wei Lin and Rakesh Agrawal 0001},
  publisher = {IEEE},
  isbn = {979-8-3503-2445-7},
}