This paper designs a trajectory spatio-temporal prediction method based on FL named STFL. Different FL clients are trained together without sharing raw data.
Released as a paper-conference by IEEE. 2022. Type paper-conference. Stage unknown. Date 2022-10-24. DOI ...
Comparison between original and predicted trajectory points · STFL:Spatio-temporal Federated Learning for Vehicle Trajectory Prediction. Conference Paper. Full ...
Nov 29, 2023 · We design a Spatial-Temporal Fusion (STF) model including Multi-layer perceptions (MLP) and Graph Attention (GAT) to capture the spatial and temporal ...
Trajectory prediction models commonly rely on time series data that encompass vehicle/passenger position, velocity, and acceleration. These models leverage the ...
STFL: Spatio-temporal Federated Learning for Vehicle Trajectory Prediction; Xuehan Zhou, Ruimin Ke, Zhiyong Cui, Qiang Liu, Wenxing Qian, 2022 IEEE 2nd ...
Jul 20, 2024 · Pedestrian trajectory prediction is essential for self-driving vehicles, social robots, and intelligent monitoring applications.
Jun 14, 2023 · This paper proposes a Federated Learning-based Vehicle Trajectory Prediction Algorithm against Cyberattacks (FL-TP) to address the above problems.
Missing: STFL: Spatio- temporal
The proposed FL approach is referred to as spatio-temporal FL (STFL), which jointly exploits the spatial and temporal correlations between the learning ...
A traffic flow prediction model based on federated learning and spatio-temporal graph neural networks is proposed.
Missing: STFL: | Show results with:STFL: