A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via
Differential Privacy

A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy

7 June 2022

Zhangcheng Huang

Papers citing "A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy"

10 / 10 papers shown

Title
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 52 2 0 08 Jan 2025
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks Yushun Dong Binchi Zhang Zhenyu Lei Na Zou Jundong Li MU 67 5 0 28 Jul 2024
GraphPub: Generation of Differential Privacy Graph with High Availability Wanghan Xu Bin Shi Ao Liu Jiqiang Zhang Bo Dong 30 2 0 28 Feb 2024
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 21 8 0 10 Jul 2023
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization Rong Pan Jianzong Wang Lingwei Kong Zhangcheng Huang Jing Xiao FedML 6 1 0 23 Apr 2023
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs Taolin Zhang Chuan Chen Yaomin Chang Lin Shu Zibin Zheng FedML 13 14 0 29 Aug 2022
A Fair Federated Learning Framework With Reinforcement Learning Yaqi Sun Shijing Si Jianzong Wang Yuhan Dong Z. Zhu Jing Xiao FedML 9 7 0 26 May 2022
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information Shijing Si Jianzong Wang Ruiyi Zhang Qinliang Su Jing Xiao 17 9 0 26 May 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges R. Liu Pengwei Xing Zichao Deng Anran Li Cuntai Guan Han Yu FedML 27 81 0 15 Feb 2022
Towards Private Learning on Decentralized Graphs with Local Differential Privacy Wanyu Lin Baochun Li Cong Wang FedML 25 43 0 23 Jan 2022