[HTML][HTML] Intelligent digital twin for federated learning in aiot networks
Federated Learning (FL) promises to solve the data privacy problem by training the local
model on each node and sharing the model parameters instead of the data itself. Next, the
FL server applies model aggregation techniques to aggregate the received models and
broadcast the resulting model to the connected clients. This study proposes a Digital Twin-
based Federated Learning (DT-FL) framework to virtually monitor and controls the remotely
deployed physical clients and their training process. The connection-oriented protocol, Open …
model on each node and sharing the model parameters instead of the data itself. Next, the
FL server applies model aggregation techniques to aggregate the received models and
broadcast the resulting model to the connected clients. This study proposes a Digital Twin-
based Federated Learning (DT-FL) framework to virtually monitor and controls the remotely
deployed physical clients and their training process. The connection-oriented protocol, Open …
以上显示的是最相近的搜索结果。 查看全部搜索结果