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Federated Node Classification on Amazon Electronics

67.96AccuracyFedEPD
37.987245.768653.5561.3314Jun 23, 2026

Evaluation results

MethodLinks
FedEPDBackbone=two-layer GCN, Hidden Dimension=64, Learning Rate=1e-2, Communication Rounds=200, Local Epochs=3, Number of Clients=102026.0667.9663.9965.09
GraphSMOTEBackbone=two-layer GCN, Hidden Dimension=64, Learning Rate=1e-2, Communication Rounds=200, Local Epochs=3, Number of Clients=102026.0664.0461.3760.45
LWSBackbone=two-layer GCN, Hidden Dimension=64, Learning Rate=1e-2, Communication Rounds=200, Local Epochs=3, Number of Clients=102026.0663.8359.8959.42
FedGTABackbone=two-layer GCN, Hidden Dimension=64, Learning Rate=1e-2, Communication Rounds=200, Local Epochs=3, Number of Clients=102026.0662.8959.9260.07
FedAvgBackbone=two-layer GCN, Hidden Dimension=64, Learning Rate=1e-2, Communication Rounds=200, Local Epochs=3, Number of Clients=102026.0662.3359.359.15
FedSprayBackbone=two-layer GCN, Hidden Dimension=64, Learning Rate=1e-2, Communication Rounds=200, Local Epochs=3, Number of Clients=102026.0661.6556.2556.32
HieTailBackbone=two-layer GCN, Hidden Dimension=64, Learning Rate=1e-2, Communication Rounds=200, Local Epochs=3, Number of Clients=102026.066156.4856.2
CReFFBackbone=two-layer GCN, Hidden Dimension=64, Learning Rate=1e-2, Communication Rounds=200, Local Epochs=3, Number of Clients=102026.0658.6752.7753.3
FedLCBackbone=two-layer GCN, Hidden Dimension=64, Learning Rate=1e-2, Communication Rounds=200, Local Epochs=3, Number of Clients=102026.0658.3752.3952.57
FedGACBackbone=two-layer GCN, Hidden Dimension=64, Learning Rate=1e-2, Communication Rounds=200, Local Epochs=3, Number of Clients=102026.0657.0557.3454.31
GraphFedMigBackbone=two-layer GCN, Hidden Dimension=64, Learning Rate=1e-2, Communication Rounds=200, Local Epochs=3, Number of Clients=102026.0647.7140.541.95
FedProtoBackbone=two-layer GCN, Hidden Dimension=64, Learning Rate=1e-2, Communication Rounds=200, Local Epochs=3, Number of Clients=102026.0639.1432.8932.66