联邦学习论文论文阅读:FedProx
2022-12-5
论文简介论文名称:Federated Optimization for Heterogeneous Networks作者:Tian L...
论文简介论文名称:Federated Optimization for Heterogeneous Networks作者:Tian L...
论文简介论文名称:No Fear of Heterogeneity: Classifier Calibration for Feder...
论文简介论文名称:Multi-Center Federated Learning作者:Ming Xie, 悉尼科技大学论文链接:htt...
论文简介论文名称:TCT: Convexifying Federated Learning using Bootstrapped Ne...
联邦学习领域有很多论文旨在提高联邦学习模型的收敛速度,减少训练轮数,甚至不惜大幅提高计算成本。导师也提到过在联邦里面的cost,主要就...