FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP

FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP Zhuo Zhang author Xiangjing Hu author Jingyuan Zhang author Yating Zhang author Hui Wang author Lizhen Qu author Zenglin Xu author 2023-07 text Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) Anna Rogers editor Jordan Boyd-Graber editor Naoaki Okazaki editor Association for Computational Linguistics Toronto, Canada conference publication zhang-etal-2023-fedlegal 10.18653/v1/2023.acl-long.193 https://aclanthology.org/2023.acl-long.193/ 2023-07 3492 3507