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DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning

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Beschreibung

We develop a distributed machine learning system to sort out defect plastic parts during production. Main challenge is the transferability of learnt process know-how from case to case; the solution builds on domain adaptation, continual data-centric deep learning and federated edge computing.