FedGosp: A Novel Framework of Gossip Federated Learning for Data Heterogeneity

Guanghao Li, Yue Hu, Miao Zhang, Li Li, Tao Chang, Quanjun Yin. FedGosp: A Novel Framework of Gossip Federated Learning for Data Heterogeneity. In IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022, Prague, Czech Republic, October 9-12, 2022. pages 840-845, IEEE, 2022. [doi]

@inproceedings{LiHZLCY22,
  title = {FedGosp: A Novel Framework of Gossip Federated Learning for Data Heterogeneity},
  author = {Guanghao Li and Yue Hu and Miao Zhang and Li Li and Tao Chang and Quanjun Yin},
  year = {2022},
  doi = {10.1109/SMC53654.2022.9945192},
  url = {https://doi.org/10.1109/SMC53654.2022.9945192},
  researchr = {https://researchr.org/publication/LiHZLCY22},
  cites = {0},
  citedby = {0},
  pages = {840-845},
  booktitle = {IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022, Prague, Czech Republic, October 9-12, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-5258-8},
}