International Business Machines Corporation
NON-ITERATIVE FEDERATED LEARNING

Abstract:

Techniques for non-iterative federated learning include receiving local models from agents, generating synthetic datasets for the local models, and producing outputs using the local models and the synthetic datasets. A global model is trained based on the synthetic datasets and the outputs.