% Key papers for Federated learning with pretrained models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2022_fedproto_2103,
  title = {{FedProto: Federated Prototype Learning across Heterogeneous Clients}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/08432-fedproto-federated-prototype-learning-across-heterogeneous-clients/},
}

@inproceedings{neurips2020_ensemble_59786,
  title = {{Ensemble Distillation for Robust Model Fusion in Federated Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18697},
}

@inproceedings{iclr2021_fedbn_30017,
  title = {{FedBN: Federated Learning on Non-IID Features via Local Batch Normalization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2846},
}

@inproceedings{aaai2021_addressing_91,
  title = {{Addressing Class Imbalance in Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10165-addressing-class-imbalance-in-federated-learning/},
}

@inproceedings{aaai2023_fairfed_3652,
  title = {{FairFed: Enabling Group Fairness in Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25911},
}

@inproceedings{cvpr2022_fedcorr_18841,
  title = {{FedCorr: Multi-Stage Federated Learning for Label Noise Correction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_scalefl_22128,
  title = {{ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21187},
}

@inproceedings{cvpr2023_federated_20987,
  title = {{Federated Domain Generalization With Generalization Adjustment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22408},
}

@inproceedings{aaai2024_feddat_5988,
  title = {{FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29007},
}

@inproceedings{neurips2020_robust_60732,
  title = {{Robust Federated Learning: The Case of Affine Distribution Shifts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18072},
}

@inproceedings{cvpr2023_fedseg_20986,
  title = {{FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22586},
}

@inproceedings{icml2021_data_39196,
  title = {{Data-Free Knowledge Distillation for Heterogeneous Federated Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10091},
}

@inproceedings{neurips2022_federated_65908,
  title = {{Federated Learning from Pre-Trained Models: A Contrastive Learning Approach}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53723},
}

@inproceedings{neurips2021_fjord_61322,
  title = {{FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28682},
}

@inproceedings{aaai2021_model_1000,
  title = {{Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/05303-model-sharing-games-analyzing-federated-learning-under-voluntary-participation/},
}

@inproceedings{cvpr2022_atpfl_18244,
  title = {{ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_fair_23446,
  title = {{Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30626},
}

@inproceedings{aaai2024_clip_5347,
  title = {{CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29416},
}

@inproceedings{iclr2023_multimodal_32348,
  title = {{Multimodal Federated Learning via Contrastive Representation Ensemble}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11896},
}

@inproceedings{aaai2024_fedmut_5994,
  title = {{FedMut: Generalized Federated Learning via Stochastic Mutation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29146},
}

@inproceedings{aaai2024_federated_6004,
  title = {{Federated Learning with Extremely Noisy Clients via Negative Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29329},
}

@inproceedings{cvpr2025_fedawa_26245,
  title = {{FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33857},
}

@inproceedings{aaai2024_fairtrade_5961,
  title = {{FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28971},
}

@inproceedings{cvpr2024_fedsol_23462,
  title = {{FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30085},
}

@inproceedings{cvpr2025_fedbip_26246,
  title = {{FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33329},
}

@inproceedings{aaai2024_language_6419,
  title = {{Language-Guided Transformer for Federated Multi-Label Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29295},
}

@inproceedings{aaai2024_multi_6686,
  title = {{Multi-Dimensional Fair Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29430},
}

@inproceedings{cvpr2024_diprompt_23166,
  title = {{DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29187},
}

@inproceedings{cvpr2025_federated_26251,
  title = {{Federated Learning with Domain Shift Eraser}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34109},
}

@inproceedings{aaai2024_fedlf_5992,
  title = {{FedLF: Layer-Wise Fair Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29368},
}

@inproceedings{aaai2025_fedaa_9160,
  title = {{FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33878},
}

@inproceedings{aaai2025_federated_9180,
  title = {{Federated Learning with Sample-level Client Drift Mitigation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35480},
}

@inproceedings{cvpr2024_efficiently_23345,
  title = {{Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30637},
}

@inproceedings{aaai2024_federated_6003,
  title = {{Federated Learning via Input-Output Collaborative Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30209},
}

@inproceedings{aaai2025_capture_8388,
  title = {{Capture Global Feature Statistics for One-Shot Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33862},
}

@inproceedings{cvpr2024_flhetbench_23432,
  title = {{FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31716},
}