Joint Optimizing Federated Learning and Unlearning over Wireless Networks
In this paper, a communication and energy-efficient federated learning (FL) and unlearning (FU) co-designed framework is proposed. In the considered model, multiple edge devices collaboratively train a model. Users are allowed to quit the FL training and remove their data impacts on the trained model. Hence, an FU trai...