Abstract: Federated learning (FL) is an emerging paradigm for training machine learning models using possibly private data available at edge devices. The distributed operation of FL gives rise to ...
Abstract: As big data technologies continue to transform industrial manufacturing, digital twin (DT) systems powered by artificial intelligence (AI) are becoming key enablers in shaping the emerging ...
From early research to quality control, maintaining analytical continuity is no easy task. Could a single sequencing workflow help simplify analytical assessment?
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