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January 25, 20265 citations

Hybrid Federated Learning Framework with Generative AI for IoT Security and Sustainability

A hybrid federated learning framework with generative AI for privacy-preserving and sustainable security in IOT-enabled smart environments.

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Authors

VRVenkadeshan RamalingamBKBasant KumarSGShashi Kant Gupta

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Overview

Novel framework enhances privacy and sustainability in IoT through federated learning and generative AI, impacting various sectors.

Key Points

  • The central aim is to develop a hybrid framework that ensures privacy and security in IoT networks while promoting sustainability.
  • Proposed a hybrid federated learning framework integrating generative AI.
  • Utilized differential privacy techniques for enhanced privacy protection.
  • Implemented blockchain-assisted model validation for secure information verification.
  • Incorporated energy-efficient model optimization and edge intelligence for sustainability.
  • Conducted intensive simulations and lab-based testing for real-world application scenarios.
  • Demonstrated improved cyber threat resilience in IoT systems.
  • Achieved lower communication overhead costs for IoT devices.
  • Ensured user confidentiality and secure data handling through advanced techniques.

Cite This Study

Ramalingam et al. (2026) studied this question.

synapsesocial.com/papers/6975b1a9feba4585c2d6d37fhttps://doi.org/10.1038/s41598-025-31769-6
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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