2023
FedPD: Federated Open Set Recognition with Parameter Disentanglement
ICCV 2023poster
Existing federated learning (FL) approaches are deployed under the unrealistic closed-set setting, with both training and testing classes belong to the same set, which makes the global model fail to identify the unseen classes as `unknown'. To this end, we aim to study a novel problem of federated o…