Abstract: Detecting anomalies in general ledger data is of utmost importance to ensure the trustworthiness of financial records. Financial audits increasingly rely on machine learning (ML) algorithms ...
Abstract: In this research, we proposed a novel anomaly detection system (ADS) that integrates federated learning (FL) with blockchain for resource-constrained IoT. The proposed system allows IoT ...
This codebase is developed based on [1][2]. matplotlib: 3.7.2 For a detailed version, please refer to: environment.yaml. We use Matlab for converting the preprocessed ...
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