Open-source is nice, but that’s not the interesting part here.

Abstract: Hierarchical Federated Learning (HFL) has emerged as a promising paradigm for distributed machine learning in edge computing environments. By introducing intermediate edge servers between ...

Abstract: Traffic flow forecasting is a classical research topic in spatio-temporal data mining with many real-world applications. Traditional spatio-temporal graph neural networks (STGNNs) jointly ...