A standard federated learning framework applied to time-series data from three chemical plants yields prediction errors comparable to centralized training without sharing raw data.
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Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization
A standard federated learning framework applied to time-series data from three chemical plants yields prediction errors comparable to centralized training without sharing raw data.