Joint Federated Learning and Reinforcement Learning for Maritime Ad Hoc Networks: An Integration of Personalized Collaborative Route Planning

Chengzhuo Han, Tingting Yang 0001, Huapeng Cao. Joint Federated Learning and Reinforcement Learning for Maritime Ad Hoc Networks: An Integration of Personalized Collaborative Route Planning. In Lei Wang 0005, Michael Segal 0001, Jenhui Chen, Tie Qiu 0001, editors, Wireless Algorithms, Systems, and Applications - 17th International Conference, WASA 2022, Dalian, China, November 24-26, 2022, Proceedings, Part II. Volume 13472 of Lecture Notes in Computer Science, pages 279-290, Springer, 2022. [doi]

@inproceedings{HanYC22,
  title = {Joint Federated Learning and Reinforcement Learning for Maritime Ad Hoc Networks: An Integration of Personalized Collaborative Route Planning},
  author = {Chengzhuo Han and Tingting Yang 0001 and Huapeng Cao},
  year = {2022},
  doi = {10.1007/978-3-031-19214-2_23},
  url = {https://doi.org/10.1007/978-3-031-19214-2_23},
  researchr = {https://researchr.org/publication/HanYC22},
  cites = {0},
  citedby = {0},
  pages = {279-290},
  booktitle = {Wireless Algorithms, Systems, and Applications - 17th International Conference, WASA 2022, Dalian, China, November 24-26, 2022, Proceedings, Part II},
  editor = {Lei Wang 0005 and Michael Segal 0001 and Jenhui Chen and Tie Qiu 0001},
  volume = {13472},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-19214-2},
}