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Requirements for a Federated Learning System to Strengthen IT Security in Human Resource Management

Author

Listed:
  • Lisa Kolb

    (University of the Bundeswehr Munich)

  • Steffi Rudel

    (University of the Bundeswehr Munich)

  • Ulrike Lechner

    (University of the Bundeswehr Munich)

Abstract

Federated Learning is a decentralized approach to Machine Learning that preserves privacy by sharing models rather than data. This paper examines the requirements for a Federated Learning system as part of an IT service to strengthen IT security in Human Resource Management, especially in the recruitment process, while meeting the business needs of different stakeholders. Our research design is guided by design science research. This paper presents one iteration with a mixed-method approach consisting of a survey with n = 110 data sets, a workshop, and ten expert interviews. The result shows up two requirements catalogs for service design and user experience.

Suggested Citation

  • Lisa Kolb & Steffi Rudel & Ulrike Lechner, 2025. "Requirements for a Federated Learning System to Strengthen IT Security in Human Resource Management," Lecture Notes in Information Systems and Organization,, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-80122-8_1
    DOI: 10.1007/978-3-031-80122-8_1
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