20 citations · 21 across the 8 of their papers we have counts for
8 papers
Practical and General Backdoor Attacks against Vertical Federated Learning
Yuexin Xuan, Xiaojun Chen, Zhendong Zhao +2
Federated learning (FL), which aims to facilitate data collaboration across multiple organizations without exposing data privacy, encounters potential security risks. One serious t…
Lifted Stationary Points of Sparse Optimization with Complementarity Constraints
Shisen Liu, Xiaojun Chen
We aim to compute lifted stationary points of a sparse optimization problem (P0) with complementarity constraints. We define a continuous relaxation problem (Rv) that has the same…
Group sparse optimization for inpainting of random fields on the sphere
Chao Li, Xiaojun Chen
We propose a group sparse optimization model for inpainting of a square-integrable isotropic random field on the unit sphere, where the field is represented by spherical harmonics…
Optimality conditions for nonsmooth nonconvex-nonconcave min-max problems and generative adversarial networks
Jie Jiang, Xiaojun Chen
This paper considers a class of nonsmooth nonconvex-nonconcave min-max problems in machine learning and games. We first provide sufficient conditions for the existence of global mi…
A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients
Xiaojun Chen, Shu Yang, Li Shen +1
Training generative adversarial networks (GAN) in a distributed fashion is a promising technology since it is contributed to training GAN on a massive of data efficiently in real-w…
Improving Abstractive Text Summarization with History Aggregation
Pengcheng Liao, Chuang Zhang, Xiaojun Chen +1
Recent neural sequence to sequence models have provided feasible solutions for abstractive summarization. However, such models are still hard to tackle long text dependency in the…