Towards Efficient Federated Learning Using Agile Aggregation in Internet of Vehicles
Xin He,
Xiaolin Hu,
Guanghui Wang
et al.
Abstract:Federated learning is an enabling technology for the services in Internet of vehicles because it can effectively alleviate privacy issues in data circulation and diversified intelligent applications. However, existing federated learning methods still confront the problem of low computational efficiency when applied to the scenario of high-dynamic vehicles. In order to address this problem, we present a multistep federated learning architecture including task release, vehicle model training, identity authentica… Show more
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