Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges
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In an FL-chain system, participating devices can be identified and verified using their public key, ensuring only trustworthy devices participate.
“In an FL-chain (FL with blockchain technology) system, the participating devices can be identified and verified using their public key [40]. This ensures that only trustworthy devices are allowed to participate in the learning process.”
From A Review of Privacy Enhancement Methods for Federated Learning in Healthcare Systems (2023) · cites this paper as [40]
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- Authors
- Ali, M., Karimipour, H., & Tariq, M.
- Affiliations
- National University of Computer and Emerging Sciences (PK)
- University of Guelph (CA)
- Corresponding author
- Ali, Mansoor
- Venue
- Computers & Security
- Publisher
- Elsevier BV
- Published
- 2021-09
- Volume
- 108
- Pages
- 102355
- ISSN
- 0167-4048 (ISSN-L)
- OpenAlex
- W3168496996
- Cited by
- 177
- References
- 109
- Citations by year
- 2026: 11 · 2025: 34 · 2024: 53 · 2023: 43 · 2022: 30 · 2021: 6
- FWCI
- 11.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Computers & Security (publishedVersion)
- Funders
- State Administration of Foreign Experts Affairs
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- blockchain, federated learning, Internet of Things, privacy preservation, decentralized machine learning, privacy risks, traceability, data privacy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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