Federated learning paper is published in ACM International Conference on Information & Knowledge (CIKM’21)!

👏 Paper title: FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. In this work, we propose FedSkel to enable computation-efficient and communication-efficient federated learning on edge devices by only updating the model’s essential parts, named skeleton networks. [related project]