Auflistung nach Autor:in "Mohr, Marisa"
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- TextdokumentTowards Collaborative Predictive Maintenance Leveraging Private Cross-Company Data(INFORMATIK 2020, 2021) Mohr, Marisa; Becker, Christian; Möller, Ralf; Richter, MatthiasThe accuracy of a predictive maintenance model is largely determined by the available training data. This puts such machine learning systems out of reach for small and medium-sized production engineering companies, as they are often unable to provide training data in sufficient quality and quantity. Building a collaborative model by pooling training data across many companies would solve this issue, but this data cannot simply be consolidated in a central location while at the same time preserving data integrity and security. This paper enables a collaborative model for predictive maintenance on cross-company data without exposing participants' business information by connecting two recent methodologies: blockchain and federated learning.