DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zhixin, Xu, Jiaming, Zhou, Tianyi, Zhang, Mingjun, Liu, Liming, Hu, Jiarui, Yang, Dian, Wang, Tongyu, Zhang, Ping, Hou, Jinlong, Feng, Siyuan, Qi, Yuan, Cheng, Yuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Laminar: A Scalable Asynchronous RL Post-Training Framework
by: Sheng, Guangming, et al.
Published: (2025)
by: Sheng, Guangming, et al.
Published: (2025)
DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models
by: Zhang, Zili, et al.
Published: (2024)
by: Zhang, Zili, et al.
Published: (2024)
RollMux: Phase-Level Multiplexing for Disaggregated RL Post-Training
by: Wu, Tianyuan, et al.
Published: (2025)
by: Wu, Tianyuan, et al.
Published: (2025)
JUMBO: Fully Asynchronous BFT Consensus Made Truly Scalable
by: Cheng, Hao, et al.
Published: (2024)
by: Cheng, Hao, et al.
Published: (2024)
TensorHub: Scalable and Elastic Weight Transfer for LLM RL Training
by: Ye, Chenhao, et al.
Published: (2026)
by: Ye, Chenhao, et al.
Published: (2026)
Schedule-Level Shared-Prefix Reuse for LLM RL Training
by: Li, Pengbo, et al.
Published: (2026)
by: Li, Pengbo, et al.
Published: (2026)
Unleashing Efficient Asynchronous RL Post-Training via Staleness-Constrained Rollout Coordination
by: Li, Haoyang, et al.
Published: (2026)
by: Li, Haoyang, et al.
Published: (2026)
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents
by: Wang, Taiyi, et al.
Published: (2024)
by: Wang, Taiyi, et al.
Published: (2024)
DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving
by: Zhong, Yinmin, et al.
Published: (2024)
by: Zhong, Yinmin, et al.
Published: (2024)
StarDist: A Code Generator for Distributed Graph Algorithms
by: Nandy, Barenya Kumar, et al.
Published: (2025)
by: Nandy, Barenya Kumar, et al.
Published: (2025)
DistShap: Scalable GNN Explanations with Distributed Shapley Values
by: Akkas, Selahattin, et al.
Published: (2025)
by: Akkas, Selahattin, et al.
Published: (2025)
RollPacker: Mitigating Long-Tail Rollouts for Fast, Synchronous RL Post-Training
by: Gao, Wei, et al.
Published: (2025)
by: Gao, Wei, et al.
Published: (2025)
An Efficient, Reliable and Observable Collective Communication Library in Large-scale GPU Training Clusters
by: Zhang, Mingjun, et al.
Published: (2025)
by: Zhang, Mingjun, et al.
Published: (2025)
Expert-as-a-Service: Towards Efficient, Scalable, and Robust Large-scale MoE Serving
by: Liu, Ziming, et al.
Published: (2025)
by: Liu, Ziming, et al.
Published: (2025)
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
by: Gao, Yunqi, et al.
Published: (2025)
by: Gao, Yunqi, et al.
Published: (2025)
Bodyless Block Propagation: TPS Fully Scalable Blockchain with Pre-Validation
by: Zhao, Chonghe, et al.
Published: (2022)
by: Zhao, Chonghe, et al.
Published: (2022)
PlexRL: Cluster-Level Orchestration of Serviceized LLM Execution for RLVR
by: Zhang, Yiqi, et al.
Published: (2026)
by: Zhang, Yiqi, et al.
Published: (2026)
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
by: Lin, Bin, et al.
Published: (2024)
by: Lin, Bin, et al.
Published: (2024)
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
by: Zhong, Yinmin, et al.
Published: (2025)
by: Zhong, Yinmin, et al.
Published: (2025)
AReaL-Hex: Accommodating Asynchronous RL Training over Heterogeneous GPUs
by: Yan, Ran, et al.
Published: (2025)
by: Yan, Ran, et al.
Published: (2025)
Role-Based Fault Tolerance System for LLM RL Post-Training
by: Chen, Zhenqian, et al.
Published: (2025)
by: Chen, Zhenqian, et al.
Published: (2025)
ElasWave: An Elastic-Native System for Scalable Hybrid-Parallel Training
by: Kang, Xueze, et al.
Published: (2025)
by: Kang, Xueze, et al.
Published: (2025)
HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments
by: He, Yongjun, et al.
Published: (2025)
by: He, Yongjun, et al.
Published: (2025)
X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms
by: Yuan, Yueming, et al.
Published: (2025)
by: Yuan, Yueming, et al.
Published: (2025)
Accelerating Compound LLM Training Workloads with Maestro
by: Yuan, Xiulong, et al.
Published: (2026)
by: Yuan, Xiulong, et al.
Published: (2026)
Hecate: Unlocking Efficient Sparse Model Training via Fully Sharded Sparse Data Parallelism
by: Qing, Yuhao, et al.
Published: (2025)
by: Qing, Yuhao, et al.
Published: (2025)
LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism
by: Gu, Diandian, et al.
Published: (2024)
by: Gu, Diandian, et al.
Published: (2024)
SWARM+: Scalable and Resilient Multi-Agent Consensus for Fully-Decentralized Data-Aware Workload Management
by: Thareja, Komal, et al.
Published: (2026)
by: Thareja, Komal, et al.
Published: (2026)
XMiner: Efficient Directed Subgraph Matching with Pattern Reduction
by: Yuan, Pingpeng, et al.
Published: (2024)
by: Yuan, Pingpeng, et al.
Published: (2024)
RL in the Wild: Characterizing RLVR Training in LLM Deployment
by: Zhou, Jiecheng, et al.
Published: (2025)
by: Zhou, Jiecheng, et al.
Published: (2025)
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism
by: Ai, Xin, et al.
Published: (2024)
by: Ai, Xin, et al.
Published: (2024)
Lattica: A Decentralized Cross-NAT Communication Framework for Scalable AI Inference and Training
by: Yang, Ween, et al.
Published: (2025)
by: Yang, Ween, et al.
Published: (2025)
Radio Labeling of Strong Prismatic Network With Star
by: Wang, Liming, et al.
Published: (2026)
by: Wang, Liming, et al.
Published: (2026)
HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware
by: Liang, Yan, et al.
Published: (2026)
by: Liang, Yan, et al.
Published: (2026)
MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization
by: Hu, Rizhen, et al.
Published: (2025)
by: Hu, Rizhen, et al.
Published: (2025)
Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs
by: He, Guoliang, et al.
Published: (2025)
by: He, Guoliang, et al.
Published: (2025)
BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models
by: Wang, Zhengyang, et al.
Published: (2025)
by: Wang, Zhengyang, et al.
Published: (2025)
Polar: Agentic RL on Any Harness at Scale
by: Xu, Binfeng, et al.
Published: (2026)
by: Xu, Binfeng, et al.
Published: (2026)
Efficient Long Context Fine-tuning with Chunk Flow
by: Yuan, Xiulong, et al.
Published: (2025)
by: Yuan, Xiulong, et al.
Published: (2025)
DiFache: Efficient and Scalable Caching on Disaggregated Memory using Decentralized Coherence
by: Zhang, Hanze, et al.
Published: (2025)
by: Zhang, Hanze, et al.
Published: (2025)
Similar Items
-
Laminar: A Scalable Asynchronous RL Post-Training Framework
by: Sheng, Guangming, et al.
Published: (2025) -
DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models
by: Zhang, Zili, et al.
Published: (2024) -
RollMux: Phase-Level Multiplexing for Disaggregated RL Post-Training
by: Wu, Tianyuan, et al.
Published: (2025) -
JUMBO: Fully Asynchronous BFT Consensus Made Truly Scalable
by: Cheng, Hao, et al.
Published: (2024) -
TensorHub: Scalable and Elastic Weight Transfer for LLM RL Training
by: Ye, Chenhao, et al.
Published: (2026)