Acceleration of Federated Learning with Alleviated Forgetting in Local Training

1 code implementation • ICLR 2022 • Chencheng Xu, Zhiwei Hong, Minlie Huang, Tao Jiang

Here, we propose FedReg, an algorithm to accelerate FL with alleviated knowledge forgetting in the local training stage by regularizing locally trained parameters with the loss on generated pseudo data, which encode the knowledge of previous training data learned by the global model.

Distributed Optimization Federated Learning