Robust and Hierarchical Spatial Relation Analysis for Traffic Forecasting
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DOI: 10.1109/tits.2022.3217054
Abstract: How to model the complex spatial-temporal relation in traffic data is an important problem for precisely predicting the future status of a city traffic system. Existing traffic forecasting methods rarely consider the traffic state trend,… read more here.
Keywords: spatial relation; traffic forecasting; traffic; robust hierarchical ... See more keywords
Toward Robust Hierarchical Federated Learning in Internet of Vehicles
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3243003
Abstract: The rapid growth of the Internet of Vehicles (IoV) paradigm sparks the generation of large volumes of distributed data at vehicles, which can be harnessed to build models for intelligent applications. Federated learning has recently… read more here.
Keywords: aggregation; federated learning; robust hierarchical; internet vehicles ... See more keywords