… existing random methods. The HydRand used in this article is different from other existing methods in … improve the ability of driverlessvehicle to recognize vehicles and pedestrians. In …
… For example, we can use the model averaging approach in the Federated Averaging (FedAvg) algorithm proposed by Google [19], where the gradient parameters of local models are …
… Through an ITS case study, the ability of a federated model … When considering possible methods of advanced … When considering a system of fully autonomousvehicles, image …
… deep learningapproaches for cyber security in the Internet of … Then, we review the vulnerabilities in federatedlearning-… IoT, including, autonomousvehicles, driver assistance, …
Q Yang, Y Liu, T Chen, Y Tong - ACM Transactions on Intelligent …, 2019 - dl.acm.org
… In this article, we give an overview of a new approach, known as federatedlearning, which is a possible solution for these challenges. We surveyexisting works on federatedlearning, …
… approach, federatedlearning (FL) is a natural solution for massive user-owned devices in edge computing with distributed and private training data. FL methods … autonomousvehicles to …
D Ye, R Yu, M Pan, Z Han - IEEE Access, 2020 - ieeexplore.ieee.org
… We studyfederatedlearning in VEC to meet the rapidgrowing demands of AI applications in … In this paper, we studyfederatedlearning in VEC, which is important for generalizing AI …
… sensors in autonomousvehicles to … This learning process proposed by the FL approach has proven its effectiveness and efficiency in several case studies, in particular, in our case study …
SR Pokhrel, J Choi - IEEE transactions on vehicular technology, 2020 - ieeexplore.ieee.org
… using federatedlearning has become more and more important in vehicular networks due to the anticipated growth of connectedautonomousvehicles with … The review of this article was …