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"

43 / 43 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 54 0 0 08 May 2025
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities Yi Liu Cong Wang Xingliang Yuan 42 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 39 0 0 30 Dec 2024
Distributed Learning for Wi-Fi AP Load Prediction Dariush Salami Francesc Wilhelmi Lorenzo Galati-Giordano Mika Kasslin 29 0 0 22 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
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach Qiqing Wang Kaidi Yang FedML 39 8 0 22 Jan 2024
Federated Learning on Edge Sensing Devices: A Review Berrenur Saylam Ozlem Durmaz Incel 34 1 0 02 Nov 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 75 0 21 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 4 0 02 Jul 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 30 22 0 28 May 2023
CADeSH: Collaborative Anomaly Detection for Smart Homes Yair Meidan D. Avraham H. Libhaber A. Shabtai 19 8 0 02 Mar 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 41 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 21 176 0 02 Nov 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 90 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
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 21 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
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 28 398 0 01 Jun 2022
Federated Named Entity Recognition Joel Mathew Dimitris Stripelis J. Ambite FedML 22 1 0 28 Mar 2022
A Systematic Literature Review on Blockchain Enabled Federated Learning Framework for Internet of Vehicles M. Billah S. T. Mehedi A. Anwar Ziaur Rahman R. Islam 26 26 0 10 Mar 2022
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations Qi Liu Bo-Jun Yang Zhaojian Wang Dafeng Zhu Xinyi Wang Kai Ma Xinping Guan 41 38 0 28 Feb 2022
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks Xingjian Cao Gang Sun Hongfang Yu Mohsen Guizani FedML 24 56 0 18 Feb 2022
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning Shuang Dai Fanlin Meng FedML OnRL 40 21 0 07 Feb 2022
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement Jingwen Zhang Yuezhou Wu Rong Pan FedML 32 19 0 07 Jan 2022
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design Zhe Zhang Shiyao Ma Jiangtian Nie Yi Wu Qiang Yan Xiaoke Xu Dusit Niyato FedML 18 16 0 26 Oct 2021
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing Xumin Huang Peichun Li Rong Yu Yuan Wu Kan Xie Shengli Xie FedML 32 80 0 19 Oct 2021
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions Thippa Reddy Gadekallu Viet Quoc Pham Thien Huynh-The S. Bhattacharya Praveen Kumar Reddy Maddikunta Madhusanka Liyanage FedML AI4CE 50 39 0 08 Oct 2021
Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles Mingming Liu 14 14 0 05 Aug 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 40 74 0 23 Jul 2021
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia Longling Zhang Bochen Shen A. Barnawi Shan Xi Neeraj Kumar Yi Wu FedML MedIm 79 80 0 26 Apr 2021
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things Jiehan Zhou Shouhua Zhang Qinghua Lu W. Dai Min Chen Xin Liu Susanna Pirttikangas Yang Shi Weishan Zhang E. Herrera-Viedma FedML AI4CE 23 44 0 21 Apr 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 51 212 0 14 Jan 2021
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses Yi Liu Xingliang Yuan Ruihui Zhao Cong Wang Dusit Niyato Yefeng Zheng 33 5 0 08 Dec 2020
Advancements of federated learning towards privacy preservation: from federated learning to split learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe FedML 22 82 0 25 Nov 2020
Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework Jiawen Kang Zehui Xiong Chunxiao Jiang Yi Liu Song Guo Yang Zhang Dusit Niyato Cyril Leung Chunyan Miao FedML 30 40 0 10 Aug 2020
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence Aaqib Saeed Flora D. Salim T. Ozcelebi J. Lukkien FedML SSL 101 99 0 25 Jul 2020
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms Yi Liu Jiangtian Nie Xuandi Li Syed Hassan Ahmed Wei Yang Bryan Lim Chunyan Miao 21 147 0 23 Jul 2020
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach Yi Liu S. Garg Jiangtian Nie Yan Zhang Zehui Xiong Jiawen Kang M. S. Hossain FedML 33 378 0 19 Jul 2020