% Key papers for Personalization with global-local trade-off (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_layer_19163,
  title = {{Layer-Wised Model Aggregation for Personalized Federated Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2023_tackling_4771,
  title = {{Tackling Data Heterogeneity in Federated Learning with Class Prototypes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25891},
}

@inproceedings{cvpr2024_fedas_23459,
  title = {{FedAS: Bridging Inconsistency in Personalized Federated Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31300},
}

@inproceedings{cvpr2024_fedselect_23463,
  title = {{FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31662},
}

@inproceedings{iclr2023_personalized_32612,
  title = {{Personalized Federated Learning with Feature Alignment and Classifier Collaboration}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11721},
}

@inproceedings{neurips2024_personalized_72557,
  title = {{Personalized Federated Learning via Feature Distribution Adaptation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94815},
}

@inproceedings{neurips2021_parameterized_62565,
  title = {{Parameterized Knowledge Transfer for Personalized Federated Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27633},
}

@inproceedings{neurips2022_pfl_63804,
  title = {{pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55693},
}

@inproceedings{icml2022_personalized_41004,
  title = {{Personalized Federated Learning through Local Memorization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/18221},
}

@inproceedings{cvpr2023_how_21176,
  title = {{How To Prevent the Poor Performance Clients for Personalized Federated Learning?}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/20991},
}

@inproceedings{cvpr2024_perada_24448,
  title = {{PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30671},
}

@inproceedings{aaai2025_pfedcs_10242,
  title = {{PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35460},
}

@inproceedings{aaai2024_perfedrlnas_6942,
  title = {{PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29576},
}

@inproceedings{iclr2023_the_31956,
  title = {{The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10802},
}

@inproceedings{neurips2021_personalized_62685,
  title = {{Personalized Federated Learning With Gaussian Processes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27410},
}

@inproceedings{aaai2023_fedabc_3681,
  title = {{FedABC: Targeting Fair Competition in Personalized Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26203},
}

@inproceedings{aaai2024_knowledge_6387,
  title = {{Knowledge-Aware Parameter Coaching for Personalized Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29651},
}

@inproceedings{aaai2025_personalized_10286,
  title = {{Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33328},
}

@inproceedings{aaai2025_large_9709,
  title = {{Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33814},
}

@inproceedings{neurips2023_spectral_68145,
  title = {{Spectral Co-Distillation for Personalized Federated Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71642},
}

@inproceedings{aaai2025_flexible_9208,
  title = {{Flexible Sharpness-Aware Personalized Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35475},
}

@inproceedings{icml2024_mh_44092,
  title = {{MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34360},
}

@inproceedings{aaai2026_personalized_107194,
  title = {{Personalized Federated Graph-Level Clustering Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39546},
}

@inproceedings{aaai2025_look_9819,
  title = {{Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34187},
}

@inproceedings{iclr2024_pefll_34269,
  title = {{PeFLL: Personalized Federated Learning by Learning to Learn}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18806},
}

@inproceedings{icml2025_understanding_47036,
  title = {{Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45549},
}

@inproceedings{neurips2024_pfedclub_74496,
  title = {{pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93080},
}

@inproceedings{icml2025_harnessing_47769,
  title = {{Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44831},
}

@inproceedings{icml2026_personalized_51779,
  title = {{Personalized Additive Modeling for Multi-level Federated Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Ppdh9cmOXu},
}

@inproceedings{neurips2025_tackling_80039,
  title = {{Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=vTJFQu5YXz},
}

@inproceedings{iclr2025_hot_81179,
  title = {{Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30591},
}