Federated Learning ResearchersC

The subject is a group of developers associated with creating baseline methods for machine unlearning within the field of federated learning. Their work has primarily focused on implementing output-level metrics to prioritize computational efficiency in data removal processes. These methods have faced technical scrutiny through the Mirage framework, which reported failures in the effectiveness of their machine unlearning approaches.