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Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits. (arXiv:2208.12708v1 [cs.LG])
Aug. 29, 2022, 1:23 a.m. | Marco Schreyer, Timur Sattarov, Damian Borth
cs.CR updates on arXiv.org arxiv.org
The ongoing 'digital transformation' fundamentally changes audit evidence's
nature, recording, and volume. Nowadays, the International Standards on
Auditing (ISA) requires auditors to examine vast volumes of a financial
statement's underlying digital accounting records. As a result, audit firms
also 'digitize' their analytical capabilities and invest in Deep Learning (DL),
a successful sub-discipline of Machine Learning. The application of DL offers
the ability to learn specialized audit models from data of multiple clients,
e.g., organizations operating in the same industry or …
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