【联邦元学习】一文秒懂FedMeta框架：Federated Meta-Learning with Fast Convergence and Efficient Communication

论文：Chen F , Luo M , Dong Z , et al. Federated Meta-Learning with Fast Convergence and Efficient Communication[J]. arXiv, 2018.

华为的一篇结合联邦学习和元学习的论文：在联邦框架下，基于MAML或Meta-SGD构建FedMeta模型。

【原创，转载需标明出处】论文解析（内含论文原文、代码链接）：https://ripe-heliotrope-6f4.notion.site/Federated-Meta-Learning-with-Fast-Convergence-and-Efficient-Communication-a642d3e02af544179c1330ea24d080ea

模型框架