Robustness and Personalization in Federated Learning: A Unified Approach via Regularization

Achintya Kundu, Pengqian Yu, Laura Wynter, Shiau Hong Lim. Robustness and Personalization in Federated Learning: A Unified Approach via Regularization. In Claudio Agostino Ardagna, Hongyi Bian, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Gabriele Elia, Qiang He, Vicenç Puig, Robert Ward, Fatos Xhafa, Jia Zhang, editors, IEEE International Conference on Edge Computing and Communications, EDGE 2022, Barcelona, Spain, July 10-16, 2022. pages 1-11, IEEE, 2022. [doi]

@inproceedings{KunduYWL22,
  title = {Robustness and Personalization in Federated Learning: A Unified Approach via Regularization},
  author = {Achintya Kundu and Pengqian Yu and Laura Wynter and Shiau Hong Lim},
  year = {2022},
  doi = {10.1109/EDGE55608.2022.00014},
  url = {https://doi.org/10.1109/EDGE55608.2022.00014},
  researchr = {https://researchr.org/publication/KunduYWL22},
  cites = {0},
  citedby = {0},
  pages = {1-11},
  booktitle = {IEEE International Conference on Edge Computing and Communications, EDGE 2022, Barcelona, Spain, July 10-16, 2022},
  editor = {Claudio Agostino Ardagna and Hongyi Bian and Carl K. Chang and Rong N. Chang and Ernesto Damiani and Gabriele Elia and Qiang He and Vicenç Puig and Robert Ward and Fatos Xhafa and Jia Zhang},
  publisher = {IEEE},
  isbn = {978-1-6654-8140-3},
}