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Marco Schreyer
Last Name
Schreyer
First name
Marco
Email
marco.schreyer@unisg.ch
ORCID
Phone
+41 71 224 79 13
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1 - 8 of 8
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PublicationA SUM GREATER THAN ITS PARTS: COLLECTIVE ARTIFICIAL INTELLIGENCE IN AUDITING - Advancing Audit Models through Federated Learning Without Sharing Proprietary Data(ExpertSuisse, 2024-04-10)Miklos A. VasarhelyiArtificial intelligence exhibits the potential to transform auditing by extracting insights from large volumes of audit-relevant data. This article introduces federated learning, an emerging artificial intelligence learning setting. It outlines the integration of federated learning into practical audit procedures to gather collective intelligence from various audit-relevant data sources while ensuring data privacy.Type: journal articleJournal: EXPERT FOCUS
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PublicationType: journal articleJournal: Expert FocusVolume: Special: Internal AuditIssue: 01
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PublicationType: journal articleJournal: Expert FocusVolume: Special: Interne RevisionIssue: 01
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PublicationType: journal articleJournal: Expert FocusIssue: 04
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PublicationType: journal articleJournal: Expert FocusIssue: 02
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PublicationDeep Learning für die Wirtschaftsprüfung - Eine Darstellung von Theorie, Funktionsweise und Anwendungsmöglichkeiten(C.H. Beck Vahlen Verlag, 2021-07-28)Type: journal articleJournal: Zeitschrift für Internationale Rechnungslegung (IRZ)Issue: 7/8
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PublicationType: journal articleJournal: Expert FocusVolume: 2020Issue: 09
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PublicationKünstliche Intelligenz in der Wirtschaftsprüfung - Identifikation ungewöhnlicher Buchungen in der Finanzbuchhaltung(IDW Verlag, 2018-11-01)
;Sattarov, Timur ;Dengel, AndreasReimer, BerndType: journal articleJournal: WPg - Die WirtschaftsprüfungVolume: 72Issue: 11