International Business Machines Corporation
FEDERATED LEARNING OF MACHINE LEARNING MODEL FEATURES

Abstract:

Embodiments for providing optimized machine learning model features using federated learning on distributed data in a computing environment by a processor. Machine learning model features may be learned from one or more data sets extracted from one or more localized machine learning models associated with one or more nodes. The machine learning model features may be aggregated using a centralized machine learning model at a source node. The one or more localized machine learning models may be trained using aggregated machine learning model features provided by the centralized machine learning model.