Publication2023
Federated Learning and Blockchain: A Cross-Domain Convergence
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- Proceedings International Conference on Technological Advancements in Computational Sciences Ictacs 2023
- Pages
- 1121-1127
- Published
- 1 January 2023
- DOI
- 10.1109/ictacs59847.2023.10390227
- Scopus ID
- 85185386871
- Authors
- 5
- Open access
- No
- Citations
- 20
- International co-authorship
- No
- Co-author countries
- IN
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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Integration of federated learning and blockchain technologies advances decentralized machine learning research with applications in secure data governance and privacy preservation.
- 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
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Convergence of federated learning and blockchain represents research in digital technology and distributed computing systems for data security and privacy.
- 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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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Federated Learning and Blockchain: A Cross-Domain Convergence”. Kortex.