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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

Distance-Aware Secure Federated Learning against Model Theft and Heterogeneous Data for Communication and Information Systems

The record

Type
Publication
Date
1 January 2025
Level
International — held abroad
Journal
Proceedings IEEE Global Communications Conference Globecom
Pages
1549-1554
Published
1 January 2025
DOI
10.1109/globecom59602.2025.11432762
Scopus ID
105036278596
ISSN
23340983
Authors
7
Open access
No
Citations
0
International co-authorship
Yes
Co-author countries
IN, JP

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

    GoalPrimaryHigh confidenceJudged

    Federated learning with CKKS encryption protects distributed model training from parameter theft while managing data heterogeneity

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  2. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryHigh confidenceJudged

    Secure distributed AI training advances digital technology and cryptographic innovation research

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Distance-Aware Secure Federated Learning against Model Theft and Heterogeneous Data for Communication and Information Systems”. Kortex.

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