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: Federated learning (FL) is a promising distributed learning framework. However, most existing works have rarely considered the impact of symbol errors on the performance of wireless FL but ...