《LEARNING MLPS ON GRAPHS: A UNIFIED VIEW OF EFFECTIVENESS, ROBUSTNESS, AND EFFICIENCY》
《Prototypical Graph Contrastive Learning》
《GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning》
联邦框架图：2022/5/4为止看到的最好看的一张
物联网流量数据集知识图
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《Federated Learning with Heterogeneous Architectures using Graph HyperNetworks》
of Models — Federated Learning in Age of Foundation Model》
《Exploring One-Shot Semi-Supervised Federated Learning with Pre-trained Diffusion Models》
《Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily》
《FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks》
https://thegradient.pub/graph-neural-networks-beyond-message-passing-and-weisfeiler-lehman/
SparseVFL: Communication-Efficient Vertical Federated Learning Based on Sparsification of Embeddings and Gradients
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data
《FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction》
《PERSONALIZED FEDERATED LEARNING WITH FEATURE ALIGNMENT AND CLASSIFIER COLLABORATION》
《Federated Learning on Non-IID Graphs via Structural Knowledge Sharing》
《Rethinking Federated Learning with Domain Shift: A Prototype View》
《Communication-efficient federated learning via knowledge distillation》
《Communication-efficient federated learning via knowledge distillation》
