% Key papers for Sparse and collaboration-graph personalization (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2022_fedsoft_2104,
  title = {{FedSoft: Soft Clustered Federated Learning with Proximal Local Updating}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/08124-fedsoft-soft-clustered-federated-learning-with-proximal-local-updating/},
}

@inproceedings{neurips2021_federated_62476,
  title = {{Federated Multi-Task Learning under a Mixture of Distributions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26409},
}

@inproceedings{icml2021_exploiting_39317,
  title = {{Exploiting Shared Representations for Personalized Federated Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10309},
}

@inproceedings{iclr2022_on_31106,
  title = {{On Bridging Generic and Personalized Federated Learning for Image Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6129},
}

@inproceedings{iclr2022_fedbabu_31105,
  title = {{FedBABU: Toward Enhanced Representation for Federated Image Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6069},
}

@inproceedings{neurips2021_partialfed_63070,
  title = {{PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27733},
}

@inproceedings{aaai2022_fedfr_2101,
  title = {{FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/01656-fedfr-joint-optimization-federated-framework-for-generic-and-personalized-face-recognition/},
}

@inproceedings{cvpr2025_patient_27232,
  title = {{Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34378},
}

@inproceedings{aaai2025_personalized_10285,
  title = {{Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34047},
}

@inproceedings{neurips2024_dual_73840,
  title = {{Dual-Personalizing Adapter for Federated Foundation Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93668},
}

@inproceedings{cvpr2024_unlocking_25154,
  title = {{Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30456},
}

@inproceedings{icml2023_personalized_41931,
  title = {{Personalized Subgraph Federated Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/25210},
}

@inproceedings{neurips2024_personalized_74603,
  title = {{Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/92986},
}

@inproceedings{iclr2023_fit_32172,
  title = {{FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11913},
}

@inproceedings{iclr2024_federated_35627,
  title = {{Federated Recommendation with Additive Personalization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17446},
}

@inproceedings{icml2023_efficient_42765,
  title = {{Efficient Personalized Federated Learning via Sparse Model-Adaptation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24963},
}

@inproceedings{iclr2023_test_31993,
  title = {{Test-Time Robust Personalization for Federated Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/12065},
}

@inproceedings{neurips2023_fedl2p_67468,
  title = {{FedL2P: Federated Learning to Personalize}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72266},
}

@inproceedings{aaai2024_formal_6042,
  title = {{Formal Logic Enabled Personalized Federated Learning through Property Inference}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28962},
}

@inproceedings{neurips2024_fine_72515,
  title = {{Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94850},
}

@inproceedings{aaai2025_personalized_10287,
  title = {{Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34438},
}

@inproceedings{cvpr2025_pfedmxf_28193,
  title = {{pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34489},
}

@inproceedings{iclr2024_fedloge_34565,
  title = {{FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18509},
}

@inproceedings{aaai2025_fedfsl_9163,
  title = {{FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35423},
}

@inproceedings{neurips2025_decentralized_74777,
  title = {{Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=16BGOheRzm},
}

@inproceedings{aaai2026_federated_107536,
  title = {{Federated Context-Aware Personalized Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39888},
}

@inproceedings{icml2024_federated_44150,
  title = {{Federated Representation Learning in the Under-Parameterized Regime}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34302},
}

@inproceedings{icml2026_federated_53274,
  title = {{Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User Preferences}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=duzvT0nDgZ},
}

@inproceedings{neurips2025_fedmgp_75962,
  title = {{FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=E6SFbnPiVP},
}

@inproceedings{neurips2025_adaptive_79287,
  title = {{Adaptive Latent-Space Constraints in Personalized Federated Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=nsv3ogqRIU},
}

@inproceedings{aaai2026_fedmerge_106806,
  title = {{FedMerge: Federated Model Merging for Personalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39113},
}

@inproceedings{aaai2025_pfedgpa_11341,
  title = {{pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33980},
}