UCBFed: Using Reinforcement Learning Method to Tackle the Federated Optimization Problem

Wanqi Chen, Xin Zhou. UCBFed: Using Reinforcement Learning Method to Tackle the Federated Optimization Problem. In Miguel Matos, Fabíola Greve, editors, Distributed Applications and Interoperable Systems - 21st IFIP WG 6.1 International Conference, DAIS 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Valletta, Malta, June 14-18, 2021, Proceedings. Volume 12718 of Lecture Notes in Computer Science, pages 99-105, Springer, 2021. [doi]

@inproceedings{ChenZ21-20,
  title = {UCBFed: Using Reinforcement Learning Method to Tackle the Federated Optimization Problem},
  author = {Wanqi Chen and Xin Zhou},
  year = {2021},
  doi = {10.1007/978-3-030-78198-9_7},
  url = {https://doi.org/10.1007/978-3-030-78198-9_7},
  researchr = {https://researchr.org/publication/ChenZ21-20},
  cites = {0},
  citedby = {0},
  pages = {99-105},
  booktitle = {Distributed Applications and Interoperable Systems - 21st IFIP WG 6.1 International Conference, DAIS 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Valletta, Malta, June 14-18, 2021, Proceedings},
  editor = {Miguel Matos and Fabíola Greve},
  volume = {12718},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-78198-9},
}