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ResearchFormerly WizWand

6-step forecasting on UrbanEV Dataset

2.3077QSPFGL
2.1125363.4298934.747256.064607Apr 30, 2024
Updated 4mo ago

Evaluation results

MethodLinks
PFGLForecasting Method=STAGCN, FL Method=PFL2024.042.307723.555179.44
GraphSAGE-FedAvgForecasting Method=GraphSAGE, FL Method=FedAvg2024.042.367424.612979.25
GCRN-FedAvgForecasting Method=GCRN, FL Method=FedAvg2024.043.443533.808378.87
CNFGNNForecasting Method=CNFGNN, FL Method=CNFGNN2024.043.511432.095979.22
PAG-FedAvgForecasting Method=PAG, FL Method=FedAvg2024.043.576134.01872.84
CentralForecasting Method=LSTM, FL Method=—2024.044.47749.063656.33
No FLForecasting Method=LSTM, FL Method=—2024.045.457113.45282.33
LSTM-CNN-PFLForecasting Method=LSTM-CNN, FL Method=PFL2024.046.0224.981383.66
LSTM-PFLForecasting Method=LSTM, FL Method=PFL2024.046.108717.992778.81
LSTM-FedAvgForecasting Method=LSTM, FL Method=FedAvg2024.046.199214.829484.38
LSTM-FedProxForecasting Method=LSTM, FL Method=FedProx2024.046.346914.857884.21
LSTM-CNN-FedAvgForecasting Method=LSTM-CNN, FL Method=FedAvg2024.046.74115.643383.45
LSTM-pFedMeForecasting Method=LSTM, FL Method=pFedMe2024.047.186817.24681.01