Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits. (arXiv:2208.12708v1 [cs.LG])

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 …

accounting arxiv data financial learning lg privacy