Federated Learning (FL) is a distributed machine learning scheme in which clients jointly participate in the collaborative training of a global model by sharing model information rather than their ...

To further enhance the representation of our proposed GCPNet, asynchronous knowledge distillation is introduced to provide compact features by heterogeneous task imitation in a teacher–student ...