Privacy-preserving blockchain-based federated learning for traffic flow prediction

Qi, Yuanhang, Hossain, M. Shamim, Nie, Jiangtian, Li, Xuandi·2021·Future Generation Computer Systems

Cited by (340)

Items 301–340 of 340

  1. Individualized Federated Learning for Traffic Prediction with Error-Driven Aggregation
    Hang Chen, Collin Meese, Mark Nejad, Chien‐Chung Shen · 2026 · ACM Journal on Autonomous Transportation Systems
  2. Vehicular Traffic Flow Prediction via Decentralized Federated Meta-Learning
    Andrew Selvia, Ankur Singh, Wencen Wu · 2024 · IEEE International Conference on Big Data Computing Service and Applications (BigDataService)
  3. Cooperative Perception and Decision-Making in Internet of Vehicles: A Comprehensive Review of Federated Learning and Blockchain Technology
    Wenjie Long, Lejun Zhang · 2024 · Communications in computer and information science
  4. MATM-SN: A Deep-Reinforcement-Learning Model for Ocean Sensing Task Allocation Based on Generative Social Network
    Shuai Guo, Menglei Xia, Huanqun Xue, Yutong Song, Zhitian Zhang, Chao Liu · 2024 · IEEE Internet of Things Journal
  5. A Decentralized Asynchronous Federated Learning Framework Based on Blockchain Technology
    Xianliang Gu, Nong Si, Zikai Liu, Ying Shen, Jianfei Xie, Zhi Gao Zhao · 2024 · International Conference on Computer Systems (ICCS)
  6. Knowledge adaptation with model sharing for passenger demand forecasting
    Can Li, Lei Bai, Lina Yao, Steven Travis Waller, Wei Liu · 2025 · Transportmetrica A Transport Science
  7. Secure and Efficient Federated Learning: Advancing Cybersecurity, Privacy, and Trust Through Fedsketchand Ckksfed
    Eduardo M. M. Sarmento, João Pedro Camargo Batista, Johann J. Schmitz Bastos, Vinícius F. S. Mota, Rodolfo da Silva Villaça · 2025 · SSRN Electronic Journal
  8. Enhancing Privacy and Security in Federated Learning Through Blockchain-based Decentralized Trust Models
    Peiqi Li, Jianguo Chen, Yuting Fan, BoDong Wang, Weijian You, Changlin Yang · 2025 · International Conference on Sensor-Cloud and Edge Computing System (SCECS)
  9. Design and Optimization of Asymmetric Encryption Scheme Based on Blockchain and Its Application in Privacy Protection of Internet of Vehicles
    Wei Liao, Lansheng Han, Peng Chen · 2024 · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
  10. Privacy-preserving and robust federated learning scheme with high efficiency through ciphertext filtering
    Xiaoming Wang, Mingzhan Dai · 2025 · Cluster Computing
  11. Progress in the Application of Privacy-Preserving Computation and Blockchain Technology in Electricity Market Transactions
    Shijie Ji, Yuying Yang, Yunjie Duan, Hang Fan, Ying Lü · 2025 · International Conference on Intelligent Communications and Computing (ICICC)
  12. Enhancing Privacy with Attribute-Centric Anonymization and Synthetic Data Approaches: Comprehensive Reviews and Innovative Solutions
    Bhavana A. Khivsara, Maya Rathore · 2025 · Journal of The Institution of Engineers (India) Series C
  13. Quantized Blockchain-Based Federated Learning for Secure and Efficient Training
    Hung-Chin Jang, Yu-You Liu · 2025 · IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS)
  14. A privacy-preserving scheme for external security in blockchain-based federated learning
    Hongyuan Wang, Baokai Zu, Jianqiang Li, Jingbang Wu, Wanting Zhu · 2025 · Journal of Physics Conference Series
  15. BFL‐IoV
    Praneetha Surapaneni, Sailaja Chigurupati, Sriramulu Bojjagani · 2025
  16. FediTT: A Federated Learning Approach for Privacy-Preserving Traffic Flow Prediction
    Jiali Deng, Ying Hao, Jiayi Wang, Zhanpeng Jin · 2024 · International Conference on Universal Village (UV)
  17. Blockchain‐Enhanced Hierarchical Federated Learning for Efficient and Scalable Communication in the Internet of Vehicles
    WenJie Long, Lejun Zhang, Juxia LI, Ran Guo · 2026 · Transactions on Emerging Telecommunications Technologies
  18. A Study on Privacy-Focused Machine Learning in IoT Networks via Federated Learning
    Jisna Jaison T, P Thilakavathy · 2025 · International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
  19. Blockchain based semi-Decentralized personalized federated learning
    Ying Liu, Yu Lu, Guoping Zhu, Shuang Liu, Ruizhi Li, Ke Yang, Jingmei Wang · 2026 · Computer Networks
  20. Secure and Resilient Clustered Federated Learning for Web-Enabled Healthcare Analytics Using Lightweight Blockchain and Adaptive Model Selection
    Abdullah Melhem, Ahmed F. AlEroud, Abdullah Al-Mamun, Mohamed I. Ibrahem, Nidal Nasser · 2026 · ACM Transactions on the Web
  21. AFCG: A privacy-preserving federated learning framework against chained malicious attacks for vehicular networks
    Hui Huang, Qilei Zhou, Yanhua Hao, Zhiming Huang · 2026 · Ad Hoc Networks
  22. DVFL-CPN: A Decentralized and Verifiable Federated Learning Approach for Computing Power Network
    Boyang Wang, Xiaolong Xu · 2026 · IEEE Transactions on Networking
  23. Deep heterogeneity learning for cross-city transit forecasting: a differentially private federated framework with mixture-of-experts and seasonal decomposition
    Айвар Сахипов, Zhanbai Uzdenbayev, Diar Begisbayev, Aruzhan Mektepbayeva, Ramazan Seiitbek, Didar Yedilkhan · 2026 · Frontiers in Future Transportation
  24. Fine-grained Federated Traffic Prediction Model Based on Heterogeneous Pattern Representation Learning
    S Y Sun, Bojian Chen, Xiaoyu Jiang, Xinmin Zhang, Zhihuan Song, L Yang · 2025 · China Automation Congress (CAC)
  25. A Secure Federated IoT–WSN Architecture with Blockchain for Privacy-Preserving and Sustainable Urban Traffic Systems
    S Swapna Kumar, Remya K. R, Aadithyan Santhosh K, Ebin Soly K, Abhinraj N A, Archana P.R · 2026 · International Conference on Multidisciplinary Innovations for Smart & Sustainable Future (MISSF)
  26. Bridging structural and statistical heterogeneity: a unified DFL framework via column-wise aggregation and consensus-aware topology
    Su Liu, Hong Shen, K L Eddie Law, Chan-Tong LAM · 2026 · Journal of King Saud University - Computer and Information Sciences
  27. Secure Aggregation Scheme for Federated Learning with Bilateral Verification in the Internet of Vehicles
    Yinghui Zhang, M Y Wang, W.T. Liu, Gang Han, Yangguang Tian · 2026 · Lecture notes in computer science
  28. Seeing in Shades of Gray: Real-time Federated Image-Based Malicious Traffic Detection
    Sapthak Mohajon Turjya, Moaz Usama, Mulham Fawakherji, Mahmoud S. Abouyoussef, Islam Obaidat · 2026 · International Conference on Dependable Systems and Networks workshops
  29. A Survey on Secure Blockchain-Based Federated Learning for Privacy-Preserving Data Sharing and Protection Against Unauthorized Access
    Aruna Sanjay Kamble, Ekta Sarda · 2026 · International Journal on Smart Sensing and Intelligent Systems
  30. Secure and efficient Federated Learning using sketches and Fully Homomorphic Encryption
    Eduardo M. M. Sarmento, J. Batista, Johann J. Schmitz Bastos, Vinícius F. S. Mota, Rodolfo da Silva Villaça · 2026 · Journal of Network and Computer Applications
  31. Towards Next-Generation Autonomous Vehicle Communication in Smart Cities: A Blockchain and AI Perspective
    Tanweer Alam · 2026 · Al-Nahrain Journal for Engineering Sciences
  32. A Systematic Review on Applications of Deep Learning in Supply Chain Risk Management
    Roop Harshit Vankayalapati, Amarnath Banerjee · 2026 · Operations Research Forum
  33. Location-private traffic flow prediction via an encrypted geometric recruitment framework
    Fei Meng, Hongyu Huang, Cui Sun, Jiale Zhao · 2026 · PeerJ Computer Science
  34. A critical review on the convergence of blockchain and machine learning in deep packet inspection systems to enhance network traffic security, performance and management
    Fazeel Ahmed Khan, Andi Fitriah Abdul Kadir, Adamu Abubakar Ibrahim, Mohammad Shadab Khan · 2026 · Physica Scripta
  35. Decentralized reinforcement learning and Cardano blockchain for IoT-enabled traffic congestion system for smart cities
    Swati Saha, Preeti Chandrakar · 2026 · Knowledge and Information Systems
  36. Privacy-preserving methodologies against privacy attacks on deep learning: a survey
    Subhasish Ghosh, Amit Kr Mandal · 2026 · Knowledge and Information Systems
  37. FLBD: Enabling trustworthy and efficient Federated Learning for IIoT via Blockchain and Deep Reinforcement Learning
    Libo Feng, Jianchao Zhou, Fake Fang, Yimin Yu, Jinli Wang · 2026 · Computer Networks
  38. A two-stage directed acyclic graph based privacy and incentive federated learning approach in industrial internet of things
    Xing Liu, Yixuan Jiang, Haoyang Li, Yuzhao Hou, Xiaolong Zhou, Bin Cao · 2026 · Digital Communications and Networks
  39. Quantum-Enhanced Federated Learning Framework for Next-Generation AIoT Systems: Bridging Neuromorphic Computing and Environmental Intelligence
    Viraj P. Tathavadekar, Nitin R. Mahankale · 2026 · Studies in systems, decision and control
  40. A Decentralized Framework for AI-Driven Crowd Counting: Leveraging Deep Learning and Blockchain for Secure and Transparent Crowd Surveillance
    Ram Kumar, Tadiwa Elisha Nyamasvisva, Rajesh Tiwari · 2026 · EPJ Web of Conferences