Communication-Efficient Personalized Federal Graph Learning via Low-Rank Decomposition

Ruyue Liu, Rong Yin, Xiangzhen Bo +5

Federated graph learning (FGL) has gained significant attention for enabling heterogeneous clients to process their private graph data locally while interacting with a centralized…