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1-step forecasting on UrbanEV Dataset

1.3115QS ScorePFGL
1.2015761.9435632.685553.427537Apr 30, 2024

Evaluation results

MethodLinks
PFGLForecasting Method=STAGCN, FL Method=PFL2024.041.311513.65680.8343
GraphSAGE-FedAvgForecasting Method=GraphSAGE, FL Method=FedAvg2024.041.315614.61010.8345
CNFGNNForecasting Method=CNFGNN, FL Method=CNFGNN2024.042.315124.69050.8408
CentralForecasting Method=LSTM, FL Method=—2024.042.41166.04470.9019
GCRN-FedAvgForecasting Method=GCRN, FL Method=FedAvg2024.042.651528.50060.835
No FLForecasting Method=LSTM, FL Method=—2024.042.779.30430.8582
LSTM-PFLForecasting Method=LSTM, FL Method=PFL2024.043.036610.83360.8581
LSTM-FedAvgForecasting Method=LSTM, FL Method=FedAvg2024.043.0587.29730.8597
LSTM-CNN-PFLForecasting Method=LSTM-CNN, FL Method=PFL2024.043.078711.4880.8512
LSTM-FedProxForecasting Method=LSTM, FL Method=FedProx2024.043.07947.39840.8606
PAG-FedAvgForecasting Method=PAG, FL Method=FedAvg2024.043.583534.64970.7594
LSTM-CNN-FedAvgForecasting Method=LSTM-CNN, FL Method=FedAvg2024.043.79738.66620.8505
LSTM-pFedMeForecasting Method=LSTM, FL Method=pFedMe2024.044.05969.39590.8445