FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation

Zaipeng Xie, Junchen Jiang, Ruifeng Chen, Zhihao Qu, Hanxiang Liu. FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation. In 28th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2022, Nanjing, China, January 10-12, 2023. pages 98-105, IEEE, 2022. [doi]

@inproceedings{XieJCQL22,
  title = {FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation},
  author = {Zaipeng Xie and Junchen Jiang and Ruifeng Chen and Zhihao Qu and Hanxiang Liu},
  year = {2022},
  doi = {10.1109/ICPADS56603.2022.00021},
  url = {https://doi.org/10.1109/ICPADS56603.2022.00021},
  researchr = {https://researchr.org/publication/XieJCQL22},
  cites = {0},
  citedby = {0},
  pages = {98-105},
  booktitle = {28th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2022, Nanjing, China, January 10-12, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-7315-6},
}