HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments
Fuente:
arXiv
Saved in:
| Main Authors: | He, Yongjun, Zhang, Shuai, Gai, Jiading, Zhang, Xiyuan, Han, Boran, Wang, Bernie, Rangwala, Huzefa, Karypis, George |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments
by: Rangwala, Murtaza, et al.
Published: (2024)
by: Rangwala, Murtaza, et al.
Published: (2024)
HiRL: Hierarchical Reinforcement Learning for Coordinated Resource Management in Heterogeneous Edge Computing
by: Zhu, Jianyong, et al.
Published: (2026)
by: Zhu, Jianyong, et al.
Published: (2026)
HetCCL: Accelerating LLM Training with Heterogeneous GPUs
by: Kim, Heehoon, et al.
Published: (2026)
by: Kim, Heehoon, et al.
Published: (2026)
GraphStorm: all-in-one graph machine learning framework for industry applications
by: Zheng, Da, et al.
Published: (2024)
by: Zheng, Da, 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)
Towards Lock Modularization for Heterogeneous Environments
by: Zhang, Hanze, et al.
Published: (2025)
by: Zhang, Hanze, et al.
Published: (2025)
HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment
by: Jiang, Youhe, et al.
Published: (2025)
by: Jiang, Youhe, et al.
Published: (2025)
DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets
by: Liu, Guangyuan, et al.
Published: (2025)
by: Liu, Guangyuan, et al.
Published: (2025)
FREESH: Fair, Resource- and Energy-Efficient Scheduling for LLM Serving on Heterogeneous GPUs
by: He, Xuan, et al.
Published: (2025)
by: He, Xuan, et al.
Published: (2025)
Understanding Silent Data Corruption in LLM Training
by: Ma, Jeffrey, et al.
Published: (2025)
by: Ma, Jeffrey, 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)
AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments
by: Chen, Kefu, et al.
Published: (2026)
by: Chen, Kefu, et al.
Published: (2026)
DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training
by: Wang, Zhixin, et al.
Published: (2025)
by: Wang, Zhixin, et al.
Published: (2025)
AME: An Efficient Heterogeneous Agentic Memory Engine for Smartphones
by: Zhao, Xinkui, et al.
Published: (2025)
by: Zhao, Xinkui, et al.
Published: (2025)
BOute: Cost-Efficient LLM Serving with Heterogeneous LLMs and GPUs via Multi-Objective Bayesian Optimization
by: Jiang, Youhe, et al.
Published: (2026)
by: Jiang, Youhe, et al.
Published: (2026)
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
by: Zhang, WenZheng, et al.
Published: (2024)
by: Zhang, WenZheng, et al.
Published: (2024)
HLoRA: Efficient Federated Learning System for LLM Heterogeneous Fine-Tuning
by: Liu, Qianli, et al.
Published: (2025)
by: Liu, Qianli, et al.
Published: (2025)
Schedule-Level Shared-Prefix Reuse for LLM RL Training
by: Li, Pengbo, et al.
Published: (2026)
by: Li, Pengbo, et al.
Published: (2026)
Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning
by: Zhang, Tianru, et al.
Published: (2022)
by: Zhang, Tianru, et al.
Published: (2022)
Sailor: Automating Distributed Training over Dynamic, Heterogeneous, and Geo-distributed Clusters
by: Strati, Foteini, et al.
Published: (2025)
by: Strati, Foteini, et al.
Published: (2025)
COUNTER: Cluster GCN based Energy Efficient Resource Management for Sustainable Cloud Computing Environments
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
HexGen: Generative Inference of Large Language Model over Heterogeneous Environment
by: Jiang, Youhe, et al.
Published: (2023)
by: Jiang, Youhe, et al.
Published: (2023)
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)
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)
HetGPU: The pursuit of making binary compatibility towards GPUs
by: Yang, Yiwei, et al.
Published: (2025)
by: Yang, Yiwei, et al.
Published: (2025)
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments
by: Chadha, Mohak, et al.
Published: (2024)
by: Chadha, Mohak, et al.
Published: (2024)
Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism
by: Mo, Zizhao, et al.
Published: (2025)
by: Mo, Zizhao, et al.
Published: (2025)
HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware
by: Liang, Yan, et al.
Published: (2026)
by: Liang, Yan, et al.
Published: (2026)
Toward Heterogeneous, Distributed, and Energy-Efficient Computing with SYCL
by: Cosenza, Biagio, et al.
Published: (2025)
by: Cosenza, Biagio, et al.
Published: (2025)
WindGP: Efficient Graph Partitioning on Heterogenous Machines
by: Zeng, Li, et al.
Published: (2024)
by: Zeng, Li, et al.
Published: (2024)
IsoSched: Preemptive Tile Cascaded Scheduling of Multi-DNN via Subgraph Isomorphism
by: Zhao, Boran, et al.
Published: (2025)
by: Zhao, Boran, et al.
Published: (2025)
History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL
by: He, Jingkai, et al.
Published: (2025)
by: He, Jingkai, et al.
Published: (2025)
Bandwidth-Aware and Cost-Efficient Pipeline Parallel Scheduling in Geo-Distributed LLM Training
by: Zhang, Han, et al.
Published: (2026)
by: Zhang, Han, et al.
Published: (2026)
GENSERVE: Efficient Co-Serving of Heterogeneous Diffusion Model Workloads
by: Ye, Fanjiang, et al.
Published: (2026)
by: Ye, Fanjiang, et al.
Published: (2026)
MoA-Off: Adaptive Heterogeneous Modality-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
by: Yang, Zheming, et al.
Published: (2025)
by: Yang, Zheming, et al.
Published: (2025)
KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling
by: Zhang, Guilin, et al.
Published: (2025)
by: Zhang, Guilin, et al.
Published: (2025)
HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters
by: Liang, Antian, et al.
Published: (2025)
by: Liang, Antian, et al.
Published: (2025)
Blockchain-Enabled Federated Learning
by: Rangwala, Murtaza, et al.
Published: (2025)
by: Rangwala, Murtaza, et al.
Published: (2025)
H2:Towards Efficient Large-Scale LLM Training on Hyper-Heterogeneous Cluster over 1,000 Chips
by: Tang, Ding, et al.
Published: (2025)
by: Tang, Ding, et al.
Published: (2025)
An Efficient Approach for Energy Conservation in Cloud Computing Environment
by: Pande, Sohan Kumar, et al.
Published: (2025)
by: Pande, Sohan Kumar, et al.
Published: (2025)
Similar Items
-
TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments
by: Rangwala, Murtaza, et al.
Published: (2024) -
HiRL: Hierarchical Reinforcement Learning for Coordinated Resource Management in Heterogeneous Edge Computing
by: Zhu, Jianyong, et al.
Published: (2026) -
HetCCL: Accelerating LLM Training with Heterogeneous GPUs
by: Kim, Heehoon, et al.
Published: (2026) -
GraphStorm: all-in-one graph machine learning framework for industry applications
by: Zheng, Da, et al.
Published: (2024) -
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
by: Zhong, Yinmin, et al.
Published: (2025)