Secure Aggregation papers, 2023–2026

Key findings

• Secure Aggregation went from 14 papers in 2023 to 25 in 2026, roughly 1.8x in three years.
• NeurIPS publishes the most Secure Aggregation work: 27 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with Simulation for Driving: papers tagged with both rose from 3 in 2023 to 5 in 2026.
• Among the 5 topics under Federated and Privacy, it ranks #5 by 2026 paper count; the fastest grower in the group, Privacy Attacks, is up 1.8x versus 1.8x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Secure Aggregation papers

78 papers, page 1 of 2

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

FAQ

How many Secure Aggregation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

78 in total: 14 in 2023, 20 in 2024, 19 in 2025, 25 in 2026.

How many Secure Aggregation papers are at NeurIPS 2026?

NeurIPS 2026 has 8 Secure Aggregation papers, versus 11 the year before.

How many Secure Aggregation papers are at ICLR 2026?

ICLR 2026 has 7 Secure Aggregation papers, versus 1 the year before.

How many Secure Aggregation papers are at ICML 2026?

ICML 2026 has 5 Secure Aggregation papers, versus 3 the year before.

How many Secure Aggregation papers are at CVPR 2026?

CVPR 2026 has 5 Secure Aggregation papers, versus 4 the year before.

Which conference publishes the most Secure Aggregation papers?

NeurIPS, with 27 papers from 2023 to 2026.