分布式训练论文趋势 2023–2026

主要结论

• 分布式训练论文从 2023 年的 95 篇增长到 2026 年的 98 篇，三年间扩大到约 1.0 倍。
• NeurIPS 是发分布式训练论文最多的会议，2023–2026 年共 208 篇，占四个会议总量的 53%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 10 篇。
• 在「效率与系统」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的硬件协同是 4.4 倍，分布式训练是 1.0 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 2026AgentWeave: Efficient Distributed Agent Serving via Flow Decomposition
• ICML 2026Breaking the Capacity Bottleneck in Model-Heterogeneous Federated Learning via Gradual Model Restoration
• ICLR 2026Cascadia: An Efficient Cascade Serving System for Large Language Models
• CVPR 2026Finding Distributed Object-Centric Properties in Self-Supervised Transformers
• NeurIPS 2025A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments
• ICML 2025BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
• ICLR 2025Addressing Label Shift in Distributed Learning via Entropy Regularization
• CVPR 2025Real-time High-fidelity Gaussian Human Avatars with Position-based Interpolation of Spatially Distributed MLPs
• NeurIPS 2024Communication Efficient Distributed Training with Distributed Lion
• ICML 2024Embarrassingly Parallel GFlowNets
• ICLR 2024Benchmarking Algorithms for Federated Domain Generalization
• CVPR 2024Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations
• NeurIPS 20232Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression
• ICML 2023Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures
• ICLR 2023Distributed Extra-gradient with Optimal Complexity and Communication Guarantees
• CVPR 2023DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training
• NeurIPS 2026Do We Need Asynchronous SGD? On the Near-Optimality of Synchronous Methods
• ICML 2026Clipping Makes Distributed and Federated Asynchronous SGD Robust to Stragglers
• ICLR 2026DualMap: Enabling Both Cache Affinity and Load Balancing for Distributed LLM Serving
• CVPR 2026Parallel Rigidity Matters for Bundle Adjustment

全部分布式训练论文

共 10 篇，第 1 / 1 页

1. ICLR 2023Asynchronous Distributed Bilevel Optimization
2. ICLR 2023DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity
3. ICLR 2023Distributed Differential Privacy in Multi-Armed Bandits
4. ICLR 2023Distributed Extra-gradient with Optimal Complexity and Communication Guarantees
5. ICLR 2023Does Deep Learning Learn to Abstract? A Systematic Probing Framework
6. ICLR 2023LDMIC: Learning-based Distributed Multi-view Image Coding
7. ICLR 2023Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment
8. ICLR 2023Sparse Distributed Memory is a Continual Learner
9. ICLR 2023The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
10. ICLR 2023Why (and When) does Local SGD Generalize Better than SGD?

常见问题

2023–2026 年四大会议一共有多少篇分布式训练论文？

共 396 篇，按年份分别是 2023 年 95 篇、2024 年 74 篇、2025 年 129 篇、2026 年 98 篇。

NeurIPS 2026 有多少篇分布式训练论文？

NeurIPS 2026 有 36 篇分布式训练论文，上一届是 69 篇。

ICLR 2026 有多少篇分布式训练论文？

ICLR 2026 有 18 篇分布式训练论文，上一届是 18 篇。

ICML 2026 有多少篇分布式训练论文？

ICML 2026 有 42 篇分布式训练论文，上一届是 40 篇。

CVPR 2026 有多少篇分布式训练论文？

CVPR 2026 有 2 篇分布式训练论文，上一届是 2 篇。

哪个会议的分布式训练论文最多？

NeurIPS，2023–2026 年共 208 篇。