FedTP: A Federated Learning Framework for Traffic Prediction
FedTP is proposed, a federated learning framework that integrates gradient conflict elimination into the aggregation process and harmonizes local updates, thereby improving fairness across clients without compromising overall predictive accuracy.
Baobao Chai, Zhongyuan Yu, Tianqing He et al.
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