1 code implementation • 22 Oct 2021 • Bingyan Liu, Yifeng Cai, Ziqi Zhang, Yuanchun Li, Leye Wang, Ding Li, Yao Guo, Xiangqun Chen
Previous studies focus on the "symptoms" directly, as they try to improve the accuracy or detect possible attacks by adding extra steps to conventional FL models.
1 code implementation • 11 Jun 2021 • Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu
The knowledge of a deep learning model may be transferred to a student model, leading to intellectual property infringement or vulnerability propagation.
no code implementations • 2 Mar 2021 • Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen
This paper aims to improve the transfer performance from another angle - in addition to tuning the weights, we tune the structure of pre-trained models, in order to better match the target task.
1 code implementation • 2 Mar 2021 • Bingyan Liu, Yao Guo, Xiangqun Chen
Based on the grouping results, PFA conducts an FL process in a group-wise way on the federated model to accomplish the adaptation.