Loading...
Paper Number
ICIS2025-1482
Paper Type
Complete
Abstract
Federated learning (FL) provides organizations with a novel solution for developing artificial intelligence (AI) models despite limited centralized data and computing resources. This training approach requires organizations to collaborate with other data owners and pool their knowledge by aggregating local AI models, while keeping sensitive raw data decentralized. Organizations will adopt FL and take on the associated implementation effort if they expect it to advance their AI activities and lead to measurable business value. So far, little is known about how organizations in traditional industries perceive the potential of FL. Therefore, this paper conducts an interview study to identify the adoption factors that decision makers associate with FL. These factors are categorized as strengths, weaknesses, opportunities, and threats of the technology and subsequently rated by companies specializing in FL in terms of their importance and difficulty for a successful endeavor. Insights from both studies advance technology assessment and FL commercialization.
Recommended Citation
Müller, Kristina, "Is Federated Learning Ready for Business? A SWOT Perspective" (2025). ICIS 2025 Proceedings. 5.
https://aisel.aisnet.org/icis2025/impl_adopt/impl_adopt/5
Is Federated Learning Ready for Business? A SWOT Perspective
Federated learning (FL) provides organizations with a novel solution for developing artificial intelligence (AI) models despite limited centralized data and computing resources. This training approach requires organizations to collaborate with other data owners and pool their knowledge by aggregating local AI models, while keeping sensitive raw data decentralized. Organizations will adopt FL and take on the associated implementation effort if they expect it to advance their AI activities and lead to measurable business value. So far, little is known about how organizations in traditional industries perceive the potential of FL. Therefore, this paper conducts an interview study to identify the adoption factors that decision makers associate with FL. These factors are categorized as strengths, weaknesses, opportunities, and threats of the technology and subsequently rated by companies specializing in FL in terms of their importance and difficulty for a successful endeavor. Insights from both studies advance technology assessment and FL commercialization.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.
Comments
14-Implementation