Federated Learning Framework for Privacy-Preserving Smart Infrastructure Monitoring

  • Authors

    • H. N. Mahabala Computer Scientist, Tata Institute of Fundamental Research, India. Author

    DOI:

    https://doi.org/10.67228/30716357/IJMRSE-2025PI3K7M

    Published 06-05-2025

  • Federated Learning, Smart Infrastructure, Privacy Preservation, Edge AI, IoT Monitoring, Distributed Intelligence

    Issue

    Vol. 8 No. 1 (2025)

    Section

    Articles

    How to Cite

    Federated Learning Framework for Privacy-Preserving Smart Infrastructure Monitoring. (2025). International Journal of Modern Research in Science & Engineering, 8(1), 01-16. https://doi.org/10.67228/30716357/IJMRSE-2025PI3K7M

  • Abstract

    Smart cities, intelligent transportation systems, and industrial infrastructures increasingly rely on IoT, edge computing, and AI to enable real-time monitoring and predictive maintenance. However, centralized machine learning raises concerns regarding data privacy, communication overhead, security, and data ownership. This paper proposes a Federated Learning Framework for Privacy-Preserving Smart Infrastructure Monitoring (FL-PSIM), which enables decentralized model training without transferring raw infrastructure data. Edge devices collaboratively share encrypted model updates using secure aggregation, differential privacy, and adaptive encryption techniques to preserve confidentiality. The framework also incorporates edge-cloud collaboration to balance computational efficiency, model accuracy, and network resource utilization. Designed to support heterogeneous sensor environments across transportation, energy, industrial, and urban systems, FL-PSIM optimizes global learning while maintaining local data privacy. Experimental results demonstrate improved monitoring accuracy, anomaly detection, communication efficiency, scalability, and resilience against cyber threats compared with centralized AI approaches. The proposed framework provides a secure, privacy-preserving, and scalable foundation for next-generation smart infrastructure, supporting sustainable digital transformation, smart cities, and Industry 5.0 applications.

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