Schlagwort: ml vs federated learning in accuracy

Distributed ML Vs Federated Learning In Accuracy

As artificial intelligence (AI) continues to evolve, the way machine learning (ML) models are trained has also seen significant advancements. Two emerging approaches that enable efficient model training on large datasets are Distributed Machine Learning (DML) and Federated Learning (FL). Both methods aim to train ML models across multiple devices or nodes, but they differ […]