FedRGL combines dual-consistency noise filtering, contrastive pseudo-labeling, and entropy-based aggregation to make federated graph learning robust to label noise.
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FedRGL: Robust Federated Graph Learning for Label Noise
FedRGL combines dual-consistency noise filtering, contrastive pseudo-labeling, and entropy-based aggregation to make federated graph learning robust to label noise.