FedGVD: Efficient Federated Graph Learning via Unidirectional Distillation with Dynamic Virtual Nodes.

Zhehao Dai|Guojiang Shen|Yuyue Hu|Jiaxin Du|Xiao Han|Xiangjie Kong


Anthology ID:DBLP:conf/cikm/DaiSHD0025
Volume:Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
Year:2025
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:488-497
URL:https://doi.org/10.1145/3746252.3761338
DOI:https://doi.org/10.1145/3746252.3761338
DBLP:conf/cikm/DaiSHD0025
BibTeX:
@inproceedings{dai-2025-fedgvd, author = {Zhehao Dai and Guojiang Shen and Yuyue Hu and Jiaxin Du and Xiao Han and Xiangjie Kong}, editor = {Meeyoung Cha and Carl Yang and Senjuti Basu Roy and Chanyoung Park and Zhenhui Jessie Li and Noseong Park and Carl Yang and Senjuti Basu Roy and Zhenhui Jessie Li and Jaap Kamps and Kijung Shin and Bryan Hooi and Lifang He}, title = {{FedGVD: Efficient Federated Graph Learning via Unidirectional Distillation with Dynamic Virtual Nodes}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {488--497}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3761338}, doi = {https://doi.org/10.1145/3746252.3761338} }