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Improve Federated Learning Stability for Vehicle Trajectory Prediction

2024 FIFTEENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS, ICUFN 2024(2024)

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Key words
Federated Learning,Trajectory Prediction,Vehicle Trajectory,Machine Learning Models,Data Privacy,Autonomous Vehicles,Statistical Heterogeneity,Model Aggregation,Vehicular Networks,Federated Learning Algorithm,Model Parameters,Signal-to-noise,Learning Algorithms,Convolutional Neural Network,Start Of The Experiment,Moment Estimation,Global Parameters,Parameter Update,Homogeneous Data,Generalization Error,Federated Learning Model,Updated Model Parameters,Communication Rounds,Local Clients,Central Server,Weight Aggregates,Client-side,Homogeneous Set
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