One-Shot Federated Graph Learning via High-Fidelity Proxies and Transferability-Guided Collaboration
FedHFT is proposed, an effective One-Shot Personalized Federated Graph Learning (OPFGL) framework that addresses this bottleneck from two perspectives, namely High-Fidelity Knowledge Externalization and Transferability-Ware Knowledge Integration.
Jia-Hao Jiang, Zi-Han Tan, Wen-Ke Huang et al.
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