Context-Aware Online Model Splitting and Device Association for Semi-Decentralized Federated Learning in Internet of Things
As a distributed approach to Artificial Intelligence (AI) model construction over wireless networks, federated learning (FL) based on multi-device collaborative training can protect data privacy, as well as increase the computing load of local model updates. In contrast, split learning (SL) with proper model splitting...