Autors: Djolev, D. I., Lazarova, M. K., Nakov, O. N.
Title: Federated Learning for Credit Scoring Model using Blockchain
Keywords: Credit Score, Federated Learning, Smart Contract, Blockchain

References

    Issue

    Communications in Computer and Information Science: "Optimization, Learning Algorithms and Applications" (OL2A'2023), vol. 2, pp. 109-122, 2023, Portugal, Springer, DOI https://link.springer.com/chapter/10.1007/978-3-031-53025-8_8

    Цитирания (Citation/s):
    1. Yang F., Huang Z., Wen Z., Ye L., Qiao Y., Blockchain-Empowered AI for Fintech Services Computing: A Verifiable Framework for Transparent and Sustainable Credit Risk Assessment, 2025, IEEE Transactions on Services Computing, issue 0, DOI 10.1109/TSC.2025.3647522, eissn 19391374 - 2025 - в издания, индексирани в Scopus
    2. Sakshi, Sharma A., Credit Risk Assessment and Scoring Models, 2026, A Review Series Federated Learning in Financial Services A Path to Secure AI, issue 0, pp. 78-113, DOI 10.1201/9781003710059-5 - 2026 - в издания, индексирани в Scopus

    Вид: книга/глава(и) от книга, публикация в реферирано издание, индексирана в Scopus и Web of Science