安全聚合论文趋势 2023–2026

主要结论

• 安全聚合论文从 2023 年的 14 篇增长到 2026 年的 25 篇，三年间扩大到约 1.8 倍。
• NeurIPS 是发安全聚合论文最多的会议，2023–2026 年共 27 篇，占四个会议总量的 35%。
• 交叉方向里涨得最快的是驾驶仿真：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 5 篇。
• 在「联邦与隐私」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的隐私攻击是 1.8 倍，安全聚合是 1.8 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026Can Model Merging Improve Aggregation in DiLoCo?
• ICML 2026BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation
• ICLR 2026Beyond Aggregation: Guiding Clients in Heterogeneous Federated Learning
• CVPR 2026A2GC Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors
• NeurIPS 2025Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN
• ICML 2025Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning
• ICLR 2025Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games
• CVPR 2025FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning
• NeurIPS 2024RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation
• ICML 2024Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
• CVPR 2024GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo
• NeurIPS 2023Secure Out-of-Distribution Task Generalization with Energy-Based Models
• ICML 2023Secure Federated Correlation Test and Entropy Estimation
• ICLR 2023Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation
• CVPR 2023SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation
• NeurIPS 2026High-Dimensional Conditional Independence Testing via Random Projection Aggregation
• ICML 2026Let the Prototype Guide You: Robust Aggregation of Sparse Multi-Class Annotations via Annotator Prototype Learning
• ICLR 2026Decision Aggregation under Quantal Response
• CVPR 2026Factorized Context Aggregation for Robust Cancer Risk Estimation via Soft
• NeurIPS 2025Sound Logical Explanations for Mean Aggregation Graph Neural Networks

全部安全聚合论文

共 78 篇，第 1 / 2 页

1. CVPR 2026A2GC Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors
2. CVPR 2026Better than Average Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream
3. CVPR 2026Factorized Context Aggregation for Robust Cancer Risk Estimation via Soft
4. CVPR 2026IMS3 Breaking Distributional Aggregation in Diffusion-Based Dataset Distillation
5. CVPR 2026Spike-driven Discrete Aggregation for Event-based Object Detection
6. ICLR 2026Beyond Aggregation: Guiding Clients in Heterogeneous Federated Learning
7. ICLR 2026Decision Aggregation under Quantal Response
8. ICLR 2026Designing Rules to Pick a Rule: Aggregation by Consistency
9. ICLR 2026Minimax-Optimal Aggregation for Density Ratio Estimation
10. ICLR 2026MOAI: Module-Optimizing Architecture for Non-Interactive Secure Transformer Inference
11. ICLR 2026Secure Inference for Diffusion Models via Unconditional Scores
12. ICLR 2026Secure Outlier-Aware Large Language Model Inference
13. ICML 2026BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation
14. ICML 2026DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts
15. ICML 2026Fixed Aggregation Features Can Rival GNNs
16. ICML 2026Let the Prototype Guide You: Robust Aggregation of Sparse Multi-Class Annotations via Annotator Prototype Learning
17. ICML 2026Set-Preserving Calibration from Conformal P-Values to E-Values
18. NeurIPS 2026Align Before Aggregation: Basis-Consistent Federated LoRA under Heterogeneous Ranks
19. NeurIPS 2026Can Model Merging Improve Aggregation in DiLoCo?
20. NeurIPS 2026Caterpillar GNN: Replacing Message Passing with Graph-Level Aggregation
21. NeurIPS 2026Decentralized Aggregation of LLM Predictions via Wagering Mechanisms
22. NeurIPS 2026Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation
23. NeurIPS 2026High-Dimensional Conditional Independence Testing via Random Projection Aggregation
24. NeurIPS 2026Joint Consistency: A Unified Test-Time Aggregation Framework via Energy Minimization
25. NeurIPS 2026Robust Satisficing Ensemble: Scalable Model Aggregation Under Distribution Shifts
26. CVPR 2025CryptoFace: End-to-End Encrypted Face Recognition
27. CVPR 2025DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis
28. CVPR 2025FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning
29. CVPR 2025pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation
30. ICLR 2025Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games
31. ICML 2025FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
32. ICML 2025Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning
33. ICML 2025SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
34. NeurIPS 2025ARIA: Training Language Agents with Intention-driven Reward Aggregation
35. NeurIPS 2025Class conditional conformal prediction for multiple inputs by p-value aggregation
36. NeurIPS 2025Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
37. NeurIPS 2025Future Link Prediction Without Memory or Aggregation
38. NeurIPS 2025Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis
39. NeurIPS 2025Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning
40. NeurIPS 2025OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction
41. NeurIPS 2025Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation
42. NeurIPS 2025PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors
43. NeurIPS 2025Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN
44. NeurIPS 2025Sound Logical Explanations for Mean Aggregation Graph Neural Networks
45. CVPR 2024An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
46. CVPR 2024CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement
47. CVPR 2024Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields
48. CVPR 2024GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo
49. CVPR 2024Object Pose Estimation via the Aggregation of Diffusion Features
50. CVPR 2024Optimal Transport Aggregation for Visual Place Recognition

常见问题

2023–2026 年四大会议一共有多少篇安全聚合论文？

共 78 篇，按年份分别是 2023 年 14 篇、2024 年 20 篇、2025 年 19 篇、2026 年 25 篇。

NeurIPS 2026 有多少篇安全聚合论文？

NeurIPS 2026 有 8 篇安全聚合论文，上一届是 11 篇。

ICLR 2026 有多少篇安全聚合论文？

ICLR 2026 有 7 篇安全聚合论文，上一届是 1 篇。

ICML 2026 有多少篇安全聚合论文？

ICML 2026 有 5 篇安全聚合论文，上一届是 3 篇。

CVPR 2026 有多少篇安全聚合论文？

CVPR 2026 有 5 篇安全聚合论文，上一届是 4 篇。

哪个会议的安全聚合论文最多？

NeurIPS，2023–2026 年共 27 篇。