no code implementations • 19 Apr 2024 • Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan
To bridge the gap, this work proposes a heterogeneous subgraph transformer (HeteroSGT) to exploit subgraphs in our constructed heterogeneous graph.
no code implementations • 8 Dec 2021 • Wuxing Xu, Hao Fan, Kaixin Li, Kai Yang
In this paper, we studied the efficiency problem of adapting widely used XGBoost model in real-world applications to vertical federated learning setting.
no code implementations • 20 May 2021 • Xiaolin Chen, Shuai Zhou, Bei guan, Kai Yang, Hao Fan, Hu Wang, Yongji Wang
With this key observation, we protect data privacy and allow the disclosure of feature meaning by concealing decision paths and adapt a communication-efficient secure computation method for inference outputs.