Mengxin Wang, Liming Fang, Kuiqi Chen. FedNAT: Byzantine-robust Federated Learning through Activation-based Attention Transfer. In Jihe Wang, Yi He 0007, Thang N. Dinh, Christan Grant, Meikang Qiu, Witold Pedrycz, editors, IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023. pages 1005-1012, IEEE, 2023. [doi]
@inproceedings{WangFC23-1,
title = {FedNAT: Byzantine-robust Federated Learning through Activation-based Attention Transfer},
author = {Mengxin Wang and Liming Fang and Kuiqi Chen},
year = {2023},
doi = {10.1109/ICDMW60847.2023.00133},
url = {https://doi.org/10.1109/ICDMW60847.2023.00133},
researchr = {https://researchr.org/publication/WangFC23-1},
cites = {0},
citedby = {0},
pages = {1005-1012},
booktitle = {IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023},
editor = {Jihe Wang and Yi He 0007 and Thang N. Dinh and Christan Grant and Meikang Qiu and Witold Pedrycz},
publisher = {IEEE},
isbn = {979-8-3503-8164-1},
}