% Key papers for Federated semi-supervised and graph learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_rscfed_19669,
  title = {{RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_class_20582,
  title = {{Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23113},
}

@inproceedings{aaai2024_federated_6001,
  title = {{Federated Graph Learning under Domain Shift with Generalizable Prototypes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29468},
}

@inproceedings{icml2020_federated_38212,
  title = {{Federated Learning with Only Positive Labels}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6592},
}

@inproceedings{aaai2024_feddiv_5989,
  title = {{FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28095},
}

@inproceedings{neurips2022_semifl_63738,
  title = {{SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53635},
}

@inproceedings{iclr2022_divergence_31682,
  title = {{Divergence-aware Federated Self-Supervised Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/5908},
}

@inproceedings{aaai2024_fedfixer_5990,
  title = {{FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29179},
}

@inproceedings{aaai2024_exploring_5919,
  title = {{Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29568},
}

@inproceedings{aaai2024_exploiting_5907,
  title = {{Exploiting Label Skews in Federated Learning with Model Concatenation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29063},
}

@inproceedings{iclr2021_federated_30471,
  title = {{Federated Semi-Supervised Learning with Inter-Client Consistency \& Disjoint Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2819},
}

@inproceedings{icml2022_federated_40561,
  title = {{Federated Learning with Label Distribution Skew via Logits Calibration}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16221},
}

@inproceedings{aaai2025_exploring_9084,
  title = {{Exploring Vacant Classes in Label-Skewed Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33864},
}

@inproceedings{aaai2023_fedgs_3683,
  title = {{FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26223},
}

@inproceedings{icml2022_orchestra_40974,
  title = {{Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/18301},
}

@inproceedings{aaai2024_combating_5425,
  title = {{Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28974},
}

@inproceedings{cvpr2024_federated_23465,
  title = {{Federated Generalized Category Discovery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31381},
}

@inproceedings{cvpr2024_rethinking_24641,
  title = {{Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31894},
}

@inproceedings{aaai2025_asynchronous_8162,
  title = {{Asynchronous Federated Clustering with Unknown Number of Clusters}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34429},
}

@inproceedings{neurips2022_calfat_64104,
  title = {{CalFAT: Calibrated Federated Adversarial Training with Label Skewness}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54635},
}

@inproceedings{aaai2024_fedcsl_5986,
  title = {{FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29113},
}

@inproceedings{aaai2025_federated_9178,
  title = {{Federated Graph-Level Clustering Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34077},
}

@inproceedings{aaai2024_federated_6006,
  title = {{Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29562},
}

@inproceedings{aaai2024_federated_6002,
  title = {{Federated Label-Noise Learning with Local Diversity Product Regularization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29659},
}

@inproceedings{aaai2025_reinforcement_10502,
  title = {{Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35409},
}

@inproceedings{cvpr2025_fedspa_26250,
  title = {{FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32936},
}

@inproceedings{neurips2024_fl_73682,
  title = {{(FL)\$^2\$: Overcoming Few Labels in Federated Semi-Supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93810},
}

@inproceedings{aaai2025_fedgog_9164,
  title = {{FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34459},
}

@inproceedings{aaai2025_little_9803,
  title = {{Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33678},
}

@inproceedings{cvpr2025_fedcs_26248,
  title = {{FedCS: Coreset Selection for Federated Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35130},
}