Tunable Soft Prompts are Messengers in Federated Learning

Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li. Tunable Soft Prompts are Messengers in Federated Learning. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023. pages 14665-14675, Association for Computational Linguistics, 2023. [doi]

@inproceedings{DongXDSL23,
  title = {Tunable Soft Prompts are Messengers in Federated Learning},
  author = {Chenhe Dong and Yuexiang Xie and Bolin Ding and Ying Shen and Yaliang Li},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-emnlp.976},
  researchr = {https://researchr.org/publication/DongXDSL23},
  cites = {0},
  citedby = {0},
  pages = {14665-14675},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023},
  editor = {Houda Bouamor and Juan Pino 0001 and Kalika Bali},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-061-5},
}