End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
Federated learning (FL) and split neural networks (SplitNN) are state-of-art distributed machine learning techniques to enable machine learning without directly accessing raw data on clients or end devices. In theory, such distributed machine learning techniques have great potential in distributed applications, in which data are typically generated and collected at …