A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning

Sai Qian Zhang, Jieyu Lin, Qi Zhang 0008. A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022. pages 9091-9099, AAAI Press, 2022. [doi]

@inproceedings{ZhangL022-0,
  title = {A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning},
  author = {Sai Qian Zhang and Jieyu Lin and Qi Zhang 0008},
  year = {2022},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/20894},
  researchr = {https://researchr.org/publication/ZhangL022-0},
  cites = {0},
  citedby = {0},
  pages = {9091-9099},
  booktitle = {Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022},
  publisher = {AAAI Press},
  isbn = {978-1-57735-876-3},
}