articleIEEE Transactions on Consumer ElectronicsMay 1, 2025Closed access

Federated Learning With Small and Large Models With Privacy-Preserving Data Space for Holographic Internet of Things in Consumer Electronics

TMTaher M. GhazalMKMohammad Kamrul HasanAHAbdelrahman H. HusseinBKBishwajeet Kumar PandeyMAMunir Ahmad

National University of Malaysia · Al-Ahliyya Amman University · +3 more institutions

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Abstract

Holographic Internet of Things (IoT) aggregates virtual and augmented reality to provide real-time modeling that improves the user experience of consumer electronic products and applications. The incorporated technologies support third-party applications for which heterogeneous privacy-preserving features are required. Considering this factor, a Modeling Space Privacy (MSP) is introduced in this article using ternary homomorphic encryption (THE). The proposed privacy scheme encourages space and component privacy using independent hashes using HE. Privacy is retained using the ternary operation between the components and space to ensure maximum security of IoT model representations. Third-party applications,…

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43
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FWCI
87.71
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100%
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47
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Authors

7

Topics & keywords

Topics
Keywords
  • Electronics
  • The Internet
  • Computer science
  • Internet of Things
  • Space (punctuation)
  • Information privacy
  • Holography
  • Internet privacy
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