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Autor:
Liu, Ruyue, Yin, Rong, Bo, Xiangzhen, Hao, Xiaoshuai, Zhou, Xingrui, Liu, Yong, Ma, Can, Wang, Weiping
Federated graph learning (FGL) has gained significant attention for enabling heterogeneous clients to process their private graph data locally while interacting with a centralized server, thus maintaining privacy. However, graph data on clients are t
Externí odkaz:
http://arxiv.org/abs/2412.13442