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Oluwaseun Adeniyi Ojerinde

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#federated learning Open access Oct 2026

Blockchain-Enabled Federated Learning for Healthcare: An Empirical Evaluation of the Integrity Boundary, Byzantine Robustness, and Ledger Overhead

Federated learning enables healthcare institutions to train shared models without pooling patient records, but it does not by itself authenticate participants, verify that model updates arrive unaltered, or provide an auditable record of contributions. Permissioned blockchains are often proposed to address these gaps,...

Oluwaseun Adeniyi Ojerinde, Jimoh Yusuf, David Ibrahim Saba et al. · 0 citations
#graph neural networks Review Open access Sep 2026

Adversarially Robust and Explainable Graph Neural Networks for Fraud Detection in Dynamic Blockchain Networks: A Systematic Solution-Based Literature Review

Blockchain technology has revolutionized digital financial systems through decentralized, transparent, and secure transactions. However, the increasing sophistication of blockchain systems has coincided with the emergence of complex illicit activities, including ransomware transactions, Ponzi schemes, phishing, and mon...

O. Ojerinde, Ramatu Abubakar, B. Alenoghena et al. · 0 citations

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