no code implementations • 25 Jul 2023 • Hong Huang, Xinyu Lei, Tao Xiang
Since a benign client's data can be leaked to the adversary, this attack brings the risk of local data leakage for clients in many security-critical FL applications.
1 code implementation • 23 Jul 2022 • Xu Zhou, Xinyu Lei, Cong Yang, Yichun Shi, Xiao Zhang, Jingwen Shi
The key idea in FedKF is to let the server return the global knowledge to be fused with the local knowledge in each training round so that the local model can be regularized towards the global optima.
no code implementations • 20 Nov 2021 • Liling Zhang, Xinyu Lei, Yichun Shi, Hongyu Huang, Chao Chen
Federated Learning (FL) enables a group of clients to jointly train a machine learning model with the help of a centralized server.