Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
-
initiate an application, all in one place. Browse Research projects Honours and Masters project Supervisors Login Recently added Uncertainty quantification using deep learning GEMS 2026: Toward Distribution
Searches related to distributed computing
Enter an email to receive alerts for distributed-computing positions