% Key papers for Bayesian personalized FL (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2023_fedala_3682,
  title = {{FedALA: Adaptive Local Aggregation for Personalized Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26330},
}

@inproceedings{neurips2020_personalized_60580,
  title = {{Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18279},
}

@inproceedings{icml2021_ditto_39263,
  title = {{Ditto: Fair and Robust Federated Learning Through Personalization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10571},
}

@inproceedings{icml2021_personalized_39782,
  title = {{Personalized Federated Learning using Hypernetworks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10453},
}

@inproceedings{neurips2023_dynamic_68148,
  title = {{Dynamic Personalized Federated Learning with Adaptive Differential Privacy}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71639},
}

@inproceedings{cvpr2023_reliable_22029,
  title = {{Reliable and Interpretable Personalized Federated Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21383},
}

@inproceedings{cvpr2023_confidence_20628,
  title = {{Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21339},
}

@inproceedings{iclr2021_personalized_30506,
  title = {{Personalized Federated Learning with First Order Model Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3315},
}

@inproceedings{icml2022_personalized_41005,
  title = {{Personalized Federated Learning via Variational Bayesian Inference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17301},
}

@inproceedings{neurips2023_towards_70101,
  title = {{Towards Personalized Federated Learning via Heterogeneous Model Reassembly}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/69876},
}

@inproceedings{aaai2024_fed_5982,
  title = {{Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29025},
}

@inproceedings{cvpr2025_fedcalm_26247,
  title = {{FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32976},
}

@inproceedings{neurips2024_personalized_73690,
  title = {{Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93804},
}

@inproceedings{neurips2021_quped_62140,
  title = {{QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26045},
}

@inproceedings{neurips2022_on_64056,
  title = {{On Sample Optimality in Personalized Collaborative and Federated Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53344},
}

@inproceedings{neurips2023_adaptive_69629,
  title = {{Adaptive Test-Time Personalization for Federated Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70307},
}

@inproceedings{aaai2025_confree_8486,
  title = {{ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34449},
}

@inproceedings{neurips2022_self_64369,
  title = {{Self-Aware Personalized Federated Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52778},
}

@inproceedings{aaai2024_watch_7785,
  title = {{Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29012},
}

@inproceedings{neurips2024_private_70177,
  title = {{Private and Personalized Frequency Estimation in a Federated Setting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96907},
}

@inproceedings{neurips2024_a_73411,
  title = {{A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94048},
}

@inproceedings{aaai2026_breaking_106165,
  title = {{Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38472},
}

@inproceedings{iclr2024_fedp3_34982,
  title = {{FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18092},
}

@inproceedings{icml2025_on_46645,
  title = {{On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45925},
}

@inproceedings{icml2026_adaptive_50223,
  title = {{Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=ADHGbxsREr},
}

@inproceedings{icml2026_flatland_50937,
  title = {{FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=H6PagZKyil},
}

@inproceedings{icml2026_federated_55209,
  title = {{Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=wjiw02fqir},
}

@inproceedings{neurips2025_personalized_77085,
  title = {{Personalized Federated Conformal Prediction with Localization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=QQUhGPST45},
}

@inproceedings{neurips2025_personalized_77545,
  title = {{Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=V75MK7uh67},
}

@inproceedings{cvpr2026_fine_97886,
  title = {{Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Hou_Fine-Tuning_Impairs_the_Balancedness_of_Foundation_Models_in_Long-tailed_Personalized_CVPR_2026_paper.html},
}

@inproceedings{icml2024_causally_44117,
  title = {{Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34335},
}

@inproceedings{icml2026_clove_49236,
  title = {{CLoVE: Personalized Federated Learning through Clustering of Loss Vector Embeddings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=0RctDxxCDs},
}

@inproceedings{icml2026_fedemoe_52521,
  title = {{FedEMoE: Improving Personalization on Heterogeneous Federated Learning via Elastic Mixture of Experts Architecture}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=WqwKx40txT},
}

@inproceedings{neurips2025_personalized_80370,
  title = {{Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=yrNw1R8o2W},
}