Distributed Training papers, 2023–2026

Key findings

• Distributed Training went from 95 papers in 2023 to 98 in 2026, roughly 1.0x in three years.
• NeurIPS publishes the most Distributed Training work: 208 papers from 2023 to 2026, 53% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 1 in 2023 to 10 in 2026.
• Among the 5 topics under Efficiency and Systems, it ranks #4 by 2026 paper count; the fastest grower in the group, Hardware-Aware ML, is up 4.4x versus 1.0x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Distributed Training papers

69 papers, page 1 of 2

1. NeurIPS 2025A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments
2. NeurIPS 2025Accelerating Parallel Diffusion Model Serving with Residual Compression
3. NeurIPS 2025ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
4. NeurIPS 2025Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents
5. NeurIPS 2025Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
6. NeurIPS 2025AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
7. NeurIPS 2025ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification
8. NeurIPS 2025Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
9. NeurIPS 2025Channel Simulation and Distributed Compression with Ensemble Rejection Sampling
10. NeurIPS 2025ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
11. NeurIPS 2025Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism
12. NeurIPS 2025Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo
13. NeurIPS 2025Contextual Tokenization for Graph Inverted Indices
14. NeurIPS 2025Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage
15. NeurIPS 2025Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
16. NeurIPS 2025Distributed mediation analysis with communication efficiency
17. NeurIPS 2025Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
18. NeurIPS 2025DUO: No Compromise to Accuracy Degradation
19. NeurIPS 2025DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism
20. NeurIPS 2025Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs
21. NeurIPS 2025Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving
22. NeurIPS 2025ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
23. NeurIPS 2025EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths
24. NeurIPS 2025Exploiting Dynamic Sparsity in Einsum
25. NeurIPS 2025FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery
26. NeurIPS 2025First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training
27. NeurIPS 2025FlashMoE: Fast Distributed MoE in a Single Kernel
28. NeurIPS 2025FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
29. NeurIPS 2025Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation
30. NeurIPS 2025Gatekeeper: Improving Model Cascades Through Confidence Tuning
31. NeurIPS 2025Generative Caching for Structurally Similar Prompts and Responses
32. NeurIPS 2025HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location
33. NeurIPS 2025InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction
34. NeurIPS 2025KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows
35. NeurIPS 2025Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving
36. NeurIPS 2025MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization
37. NeurIPS 2025Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training
38. NeurIPS 2025Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures
39. NeurIPS 2025msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML
40. NeurIPS 2025MUSTAFAR: Promoting Unstructured Sparsity for KV Cache Pruning in LLM Inference
41. NeurIPS 2025NestedFP: High-Performance, Memory-Efficient Dual-Precision Floating Point Support for LLMs
42. NeurIPS 2025PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference
43. NeurIPS 2025Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster
44. NeurIPS 2025PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
45. NeurIPS 2025Quartet: Native FP4 Training Can Be Optimal for Large Language Models
46. NeurIPS 2025REASONING COMPILER: LLM-Guided Optimizations for Efficient Model Serving
47. NeurIPS 2025Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses
48. NeurIPS 2025Repo2Run: Automated Building Executable Environment for Code Repository at Scale
49. NeurIPS 2025Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
50. NeurIPS 2025SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training

FAQ

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

396 in total: 95 in 2023, 74 in 2024, 129 in 2025, 98 in 2026.

How many Distributed Training papers are at NeurIPS 2026?

NeurIPS 2026 has 36 Distributed Training papers, versus 69 the year before.

How many Distributed Training papers are at ICLR 2026?

ICLR 2026 has 18 Distributed Training papers, versus 18 the year before.

How many Distributed Training papers are at ICML 2026?

ICML 2026 has 42 Distributed Training papers, versus 40 the year before.

How many Distributed Training papers are at CVPR 2026?

CVPR 2026 has 2 Distributed Training papers, versus 2 the year before.

Which conference publishes the most Distributed Training papers?

NeurIPS, with 208 papers from 2023 to 2026.