FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation

Ming Hu, Peiheng Zhou, Zhihao Yue +6

As a promising distributed machine learning paradigm, Federated Learning (FL) has attracted increasing attention to deal with data silo problems without compromising user privacy.…