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REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 16
作者:  Liu, Qingxiang;  Sun, Sheng;  Liang, Yuxuan;  Xu, Xiaolong;  Liu, Min;  Bilal, Muhammad;  Wang, Yuwei;  Li, Xujing;  Zheng, Yu
收藏  |  浏览/下载:1/0  |  提交时间:2025/06/25
Predictive models  Concept drift  Correlation  Forecasting  Computational modeling  Data models  Optimization  Adaptation models  Urban areas  Training  Traffic flow forecasting  federated learning  concept drift  online learning  graph convolution  
Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 13
作者:  Liu, Qingxiang;  Sun, Sheng;  Liu, Min;  Wang, Yuwei;  Gao, Bo
收藏  |  浏览/下载:13/0  |  提交时间:2024/12/06
Predictive models  Forecasting  Servers  Correlation  Data models  Federated learning  Adaptation models  online learning  spatio-temporal correlation  traffic flow forecasting  
Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 2, 页码: 17
作者:  Zhang, Chi;  Zhou, Hong-Yu;  Qiu, Qiang;  Jian, Zhichun;  Zhu, Daoye;  Cheng, Chengqi;  He, Liesong;  Liu, Guoping;  Wen, Xiang;  Hu, Runbo
收藏  |  浏览/下载:40/0  |  提交时间:2022/12/07
traffic flow forecasting  spatial-temporal prediction  graph convolutional networks  augmented multi-component