Prototypical-Networks-for-Few-shot-Learning
提出原型网络用于小样本分类，简洁高效
PartialFed-Cross-Domain-Personalized-Federated-Learning-via-Partial-Initialization
- 联邦学习（FL）通过在多个数据孤岛之间仅传递模型参数来保护数据隐私，但在数据异构（non-IID
Meta-Transfer-Learning-for-Few-Shot-Learning
这篇论文《Meta-Transfer Learning for Few-Shot Learning》