Deep Efficient Private Neighbor Generation for Subgraph Federated Learning

9 January 2024

Papers citing "Deep Efficient Private Neighbor Generation for Subgraph Federated Learning"

8 / 8 papers shown

Title
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning Zekai Chen Xunkai Li Y. X. Zhu Rong-Hua Li Guoren Wang FedML 27 0 0 19 Apr 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives Zhengyu Wu Boyang Pang Xunkai Li Y. X. Zhu Daohan Su Bowen Fan R. Li Guoren Wang Chenghu Zhou FedML 33 0 0 14 Apr 2025
Federated Prototype Graph Learning Zhengyu Wu Xunkai Li Y. X. Zhu R. Li Guoren Wang Chenghu Zhou FedML 36 0 0 13 Apr 2025
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning Xunkai Li Y. X. Zhu Boyang Pang Guochen Yan Yeyu Yan Zening Li Zhengyu Wu Wentao Zhang Rong-Hua Li Guoren Wang FedML 28 0 0 29 Aug 2024
Decoupled Subgraph Federated Learning Javad Aliakbari Johan Ostman Alexandre Graell i Amat FedML 24 0 0 29 Feb 2024
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 41 55 0 18 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
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 141 287 0 01 May 2021