% Key papers for Private federated aggregation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{aaai2021_fedrec_610, title = {{FedRec++: Lossless Federated Recommendation with Explicit Feedback}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/04224-fedrec-lossless-federated-recommendation-with-explicit-feedback/}, } @inproceedings{aaai2022_federated_2106, title = {{Federated Learning for Face Recognition with Gradient Correction}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/01999-federated-learning-for-face-recognition-with-gradient-correction/}, } @inproceedings{neurips2022_flamby_64458, title = {{FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/55738}, } @inproceedings{aaai2023_securing_4631, title = {{Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/26177}, } @inproceedings{aaai2023_industry_3907, title = {{Industry-Scale Orchestrated Federated Learning for Drug Discovery}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/26847}, } @inproceedings{aaai2023_win_4973, title = {{Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25531}, } @inproceedings{aaai2024_no_6779, title = {{No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28950}, } @inproceedings{aaai2025_federated_9182, title = {{Federated Unlearning with Gradient Descent and Conflict Mitigation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34181}, } @inproceedings{cvpr2025_unlearning_28018, title = {{Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/35107}, } @inproceedings{aaai2023_incentive_3898, title = {{Incentive-Boosted Federated Crowdsourcing}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25744}, } @inproceedings{cvpr2024_data_23109, title = {{Data Valuation and Detections in Federated Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29393}, } @inproceedings{iclr2022_improving_30921, title = {{Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2022}, url = {https://iclr.cc/virtual/2022/poster/6471}, } @inproceedings{aaai2024_lr_6409, title = {{LR-XFL: Logical Reasoning-Based Explainable Federated Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30179}, } @inproceedings{cvpr2025_not_27074, title = {{NoT: Federated Unlearning via Weight Negation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34029}, } @inproceedings{aaai2024_fedcompetitors_5987, title = {{FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29446}, } @inproceedings{aaai2024_a_5057, title = {{A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30400}, } @inproceedings{aaai2024_task_7501, title = {{Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28965}, } @inproceedings{aaai2025_mfl_9846, title = {{MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32313}, } @inproceedings{aaai2024_hifi_6201, title = {{HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30317}, } @inproceedings{aaai2025_federated_9177, title = {{Federated Graph Condensation with Information Bottleneck Principles}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33417}, } @inproceedings{aaai2024_ppidsg_6903, title = {{PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29339}, } @inproceedings{aaai2024_general_6108, title = {{General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30309}, } @inproceedings{aaai2025_reputation_10523, title = {{Reputation-aware Revenue Allocation for Auction-based Federated Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34296}, } @inproceedings{aaai2025_ebs_8859, title = {{EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34046}, } @inproceedings{aaai2025_enhancing_8986, title = {{Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/35005}, } @inproceedings{neurips2024_ferrari_72727, title = {{Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94662}, } @inproceedings{aaai2025_scalable_10683, title = {{Scalable and Trustworthy Learning in Heterogeneous Networks}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/35110}, } @inproceedings{neurips2024_fact_71566, title = {{FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95703}, }