Improve Federated Learning Stability for Vehicle Trajectory Prediction
2024 FIFTEENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS, ICUFN 2024(2024)
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
AI Read Science
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined