Novel Federated Graph Contrastive Learning for IoMT Security: Protecting Data Poisoning and Inference Attacks
- DOI
- 10.3390/math13152471
- Published
- 2025-07-31
- Container
- Mathematics
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/math13152471,
title = {Novel Federated Graph Contrastive Learning for IoMT Security: Protecting Data Poisoning and Inference Attacks},
author = {Amarudin Daulay and Kalamullah Ramli and Ruki Harwahyu and Taufik Hidayat and Bernardi Pranggono},
year = {2025},
journal = {Mathematics},
doi = {10.3390/math13152471},
url = {https://doi.org/10.3390/math13152471}
}RIS
TY - JOUR TI - Novel Federated Graph Contrastive Learning for IoMT Security: Protecting Data Poisoning and Inference Attacks AU - Amarudin Daulay AU - Kalamullah Ramli AU - Ruki Harwahyu AU - Taufik Hidayat AU - Bernardi Pranggono PY - 2025 JO - Mathematics DO - 10.3390/math13152471 UR - https://doi.org/10.3390/math13152471 ER -
APA
Daulay, A., Ramli, K., Harwahyu, R., Hidayat, T., & Pranggono, B. (2025). Novel Federated Graph Contrastive Learning for IoMT Security: Protecting Data Poisoning and Inference Attacks. Mathematics. https://doi.org/10.3390/math13152471
Source records
- crossref · retrieved 2026-09-25T00:50:44.046Z