Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach

19 March 2020

Dusit Niyato

Papers citing "Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach"

50 / 87 papers shown

Title
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Shunsuke Yoneda Valdemar Švábenský Gen Li Daisuke Deguchi Atsushi Shimada 29 0 0 14 May 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 59 0 0 08 May 2025
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction Nazmul Islam Mohammad Zulkernine 45 0 0 03 Mar 2025
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities Yi Liu Cong Wang Xingliang Yuan 47 1 0 20 Feb 2025
AI-Powered Urban Transportation Digital Twin: Methods and Applications Xuan Di Yongjie Fu Mehmet K.Turkcan Mahshid Ghasemi Zhaobin Mo Chengbo Zang Abhishek Adhikari Z. Kostić Gil Zussman AI4CE 41 0 0 30 Dec 2024
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting Qingxiang Liu Sheng Sun Keli Zhang Xiaolong Xu Min Liu Muhammad Bilal Yuwei Wang Xujing Li Yu Zheng 70 1 0 21 Nov 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection Charuka Herath Xiaolan Liu S. Lambotharan Y. Rahulamathavan FedML 28 2 0 23 Oct 2024
Inference Load-Aware Orchestration for Hierarchical Federated Learning Anna Lackinger P. Frangoudis Ivan vCilić Alireza Furutanpey Ilir Murturi Ivana Podnar vZarko Schahram Dustdar FedML 38 4 0 23 Jul 2024
FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder Yuchen Jiang Ying Wu Shiyao Zhang J. J. Yu 30 3 0 12 Jul 2024
Decaf: Data Distribution Decompose Attack against Federated Learning Zhiyang Dai Chunyi Zhou Anmin Fu 39 2 0 24 May 2024
LightTR: A Lightweight Framework for Federated Trajectory Recovery Ziqiao Liu Hao Miao Yan Zhao Chenxi Liu Kai Zheng Huan Li 33 20 0 06 May 2024
Harnessing Federated Generative Learning for Green and Sustainable Internet of Things Yuanhang Qi M. Hossain 47 7 0 30 Apr 2024
Distributed Learning for Wi-Fi AP Load Prediction Dariush Salami Francesc Wilhelmi Lorenzo Galati-Giordano Mika Kasslin 31 0 0 22 Apr 2024
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach Qing Liu Sheng Sun Keli Zhang Jingjing Xue Min Liu AI4TS 32 2 0 04 Apr 2024
Federated Computing -- Survey on Building Blocks, Extensions and Systems René Schwermer R. Mayer Hans-Arno Jacobsen FedML 40 1 0 03 Apr 2024
Federated Learning Priorities Under the European Union Artificial Intelligence Act Herbert Woisetschläger Alexander Erben Bill Marino Shiqiang Wang Nicholas D. Lane R. Mayer Hans-Arno Jacobsen 28 15 0 05 Feb 2024
FedCore: Straggler-Free Federated Learning with Distributed Coresets Hongpeng Guo Haotian Gu Xiaoyang Wang Bo Chen Eun Kyung Lee Tamar Eilam Deming Chen K. Nahrstedt FedML 32 1 0 31 Jan 2024
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach Qiqing Wang Kaidi Yang FedML 47 8 0 22 Jan 2024
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems Mohamed R. Shoaib Heba M. Emara Jun Zhao AI4TS AI4CE LRM LM&MA 37 6 0 12 Jan 2024
Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network Muhammad Yaqub Shahzad Ahmad M. A. Manan Imran Shabir Chuhan GNN 19 4 0 05 Jan 2024
Federated Learning on Edge Sensing Devices: A Review Berrenur Saylam Ozlem Durmaz Incel 34 1 0 02 Nov 2023
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction Hao Guo Collin Meese Wanxin Li Chien-Chung Shen Mark M. Nejad 23 6 0 23 Oct 2023
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 20 1 0 16 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey Sicong Liu Bin Guo Cheng Fang Ziqi Wang Shiyan Luo Zimu Zhou Zhiwen Yu AI4CE 37 22 0 27 Sep 2023
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems Shiying Zhang Jun Li Long Shi Ming Ding Dinh C. Nguyen Wuzheng Tan Jian Weng Zhu Han 73 36 0 20 Sep 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 38 77 0 21 Aug 2023
SoK: Assessing the State of Applied Federated Machine Learning Tobias Müller Maximilian Stäbler Hugo Gascón Frank Köster Florian Matthes 29 0 0 03 Aug 2023
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning Do-Yup Kim Dami Lee Ji-Wan Kim Hyun-Suk Lee 31 6 0 02 Jul 2023
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities Maryam Shaygan Collin Meese Wanxin Li Xiaoliang (George) Zhao Mark M. Nejad 38 109 0 31 May 2023
BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction Collin Meese Hang Chen Syed Ali Asif Wanxin Li Chien-Chung Shen Mark M. Nejad 33 22 0 28 May 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications Yacine Belal Sonia Ben Mokhtar Hamed Haddadi Jaron Wang A. Mashhadi FedML 38 9 0 09 May 2023
A Survey of Federated Learning for Connected and Automated Vehicles Vishnu Pandi Chellapandi Liangqi Yuan Stanislaw H. .Zak Ziran Wang FedML 33 34 0 19 Mar 2023
CADeSH: Collaborative Anomaly Detection for Smart Homes Yair Meidan D. Avraham H. Libhaber A. Shabtai 19 8 0 02 Mar 2023
Advancements in Federated Learning: Models, Methods, and Privacy Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 44 14 0 22 Feb 2023
Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting Qing Liu Sheng Sun Min Liu Yuwei Wang Bo Gao 24 5 0 17 Feb 2023
Enhancing Federated Learning with spectrum allocation optimization and device selection Tinghao Zhang Kwok-Yan Lam Jun Zhao Feng-Qiang Li Huimei Han N. Jamil 33 11 0 27 Dec 2022
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning Lorin Jenkel S. Jonas Angela Meyer FedML 41 6 0 07 Dec 2022
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network Qingze Fang Zhiwei Zhai Shuai Yu Qiong Wu Xiaowen Gong Xu Chen 36 20 0 02 Dec 2022
Federated Learning for 5G Base Station Traffic Forecasting V. Perifanis Nikolaos Pavlidis R. Koutsiamanis P. Efraimidis AI4TS 49 42 0 28 Nov 2022
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach Yang Li Ruinong Wang Yuanzheng Li Meng Zhang Chao Long 23 177 0 02 Nov 2022
M3FGM:a node masking and multi-granularity message passing-based federated graph model for spatial-temporal data prediction Yuxing Tian Zheng Liu Yanwen Qu Song Li Jiachi Luo AI4CE 27 0 0 27 Oct 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 46 91 0 05 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 59 60 0 02 Aug 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux 20 7 0 28 Jul 2022
GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation Zhiwen Zhang Hongjun Wang Jiyuan Chen Z. Fan Xuan Song Ryosuke Shibasaki FedML AI4TS 25 10 0 02 Jul 2022
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks Chong Zheng Shengheng Liu Yongming Huang Wei Zhang Luxi Yang 24 20 0 02 Jul 2022
Strategic Coalition for Data Pricing in IoT Data Markets Shashi Raj Pandey Pierre Pinson P. Popovski 29 5 0 15 Jun 2022
Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying Jieming Bian Jie Xu FedML 31 6 0 09 Jun 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning Meisam Hejazinia Dzmitry Huba Ilias Leontiadis Kiwan Maeng Mani Malek Luca Melis Ilya Mironov Milad Nasr Kaikai Wang Carole-Jean Wu FedML 11 5 0 07 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 34 399 0 01 Jun 2022