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

Publication2026

FedKGC: Federated Knowledge-Grounded Calibration Framework for Hallucination Mitigation in Medical LLMs

The record

Type
Publication
Date
1 January 2026
Level
International — held abroad
Journal
IEEE Journal of Biomedical and Health Informatics
Published
1 January 2026
DOI
10.1109/jbhi.2026.3680772
Scopus ID
105035651372
ISSN
21682194
Authors
4
Open access
No
Citations
0
International co-authorship
Yes
Co-author countries
IN, SA, US

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. 3 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryHigh confidenceJudged

    Federated learning framework enables privacy-preserving training of medical large language models while reducing hallucination in clinical decision support.

    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. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetSecondaryHigh confidenceJudged

    Advanced machine learning methodology combining federated learning with knowledge grounding for medical AI safety.

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

  3. 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

    Artificial intelligence and privacy-preserving technology for trustworthy medical AI deployment.

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

Each label above carries the instrument and the version that produced it. How each classification is reached.

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1

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KIIT Deemed to be University. “FedKGC: Federated Knowledge-Grounded Calibration Framework for Hallucination Mitigation in Medical LLMs”. Kortex.

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