GradMFL: Gradient Memory-Based Federated Learning for Hierarchical Knowledge Transferring Over Non-IID Data

Guanghui Tong, Gaolei Li, Jun Wu 0001, Jianhua Li 0001. GradMFL: Gradient Memory-Based Federated Learning for Hierarchical Knowledge Transferring Over Non-IID Data. In Yongxuan Lai, Tian Wang 0001, Min Jiang 0005, Guangquan Xu, Wei Liang 0005, Aniello Castiglione, editors, Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Virtual Event, December 3-5, 2021, Proceedings, Part I. Volume 13155 of Lecture Notes in Computer Science, pages 612-626, Springer, 2021. [doi]

@inproceedings{TongL0021,
  title = {GradMFL: Gradient Memory-Based Federated Learning for Hierarchical Knowledge Transferring Over Non-IID Data},
  author = {Guanghui Tong and Gaolei Li and Jun Wu 0001 and Jianhua Li 0001},
  year = {2021},
  doi = {10.1007/978-3-030-95384-3_38},
  url = {https://doi.org/10.1007/978-3-030-95384-3_38},
  researchr = {https://researchr.org/publication/TongL0021},
  cites = {0},
  citedby = {0},
  pages = {612-626},
  booktitle = {Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Virtual Event, December 3-5, 2021, Proceedings, Part I},
  editor = {Yongxuan Lai and Tian Wang 0001 and Min Jiang 0005 and Guangquan Xu and Wei Liang 0005 and Aniello Castiglione},
  volume = {13155},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-95384-3},
}