DeepLynx-Run framework for semiconductor manufacturing that demonstrates collaborative machine learning on distributed local datasets without sharing proprietary data. Enables privacy-preserving model training across organizations for applications such as process optimization, defect detection, yield forecasting, and equipment failure prediction. - View it on GitHub