Cover Image

Distributed Retrieval-Augmented Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Chenhao, Gao, Longxiang, Miao, Yuan, Zheng, Xi
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CoEdge-RAG: Optimizing Hierarchical Scheduling for Retrieval-Augmented LLMs in Collaborative Edge Computing
by: Hong, Guihang, et al.
Published: (2025)

DGRAG: Distributed Graph-based Retrieval-Augmented Generation in Edge-Cloud Systems
by: Zhou, Wenqing, et al.
Published: (2025)

Zero-Execution Retrieval-Augmented Configuration Tuning of Spark Applications
by: Suri, Raunaq, et al.
Published: (2025)

Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, Accelerator and CSD
by: Wei, Jia, et al.
Published: (2024)

Distributed Bilevel Optimization with Dual Pruning for Resource-limited Clients
by: Li, Mingyi, et al.
Published: (2025)

Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning
by: Jansen, Victor Forattini, et al.
Published: (2026)

TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval
by: Lin, Chien-Yu, et al.
Published: (2025)

C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System
by: Addison, Parker, et al.
Published: (2024)

Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization
by: Chen, Jiu, et al.
Published: (2026)

Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances
by: Duan, Jiangfei, et al.
Published: (2024)

Distributed Coloring in the SLEEPING Model
by: Dufoulon, Fabien, et al.
Published: (2024)

AIGC-assisted Federated Learning for Vehicular Edge Intelligence: Vehicle Selection, Resource Allocation and Model Augmentation
by: Qiang, Xianke, et al.
Published: (2025)

OnePiece: A Large-Scale Distributed Inference System with RDMA for Complex AI-Generated Content (AIGC) Workflows
by: Chen, June, et al.
Published: (2026)

VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference
by: Liu, Zihan, et al.
Published: (2025)

DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training
by: Wang, Zhixin, et al.
Published: (2025)

PIR-DSN: A Decentralized Storage Network Supporting Private Information Retrieval
by: Zhang, Jiahao, et al.
Published: (2025)

Distributed Renaming with Subquadratic Bits via Scalable Committee Election
by: Bai, Sirui, et al.
Published: (2026)

Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization
by: Chen, Yuliang, et al.
Published: (2026)

StarDist: A Code Generator for Distributed Graph Algorithms
by: Nandy, Barenya Kumar, et al.
Published: (2025)

CB-SpMV:A Data Aggregating and Balance Algorithm for Cache-Friendly Block-Based SpMV on GPUs
by: Cong, Xing, et al.
Published: (2026)

Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems
by: Kumar, Niraj, et al.
Published: (2024)

Triton-distributed: Programming Overlapping Kernels on Distributed AI Systems with the Triton Compiler
by: Zheng, Size, et al.
Published: (2025)

Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
by: Zhang, WenZheng, et al.
Published: (2024)

Collaborative UAVs Multi-task Video Processing Optimization Based on Enhanced Distributed Actor-Critic Networks
by: Rong, Ziqi, et al.
Published: (2024)

DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters
by: Bai, Haoyu, et al.
Published: (2024)

DIMS: Distributed Index for Similarity Search in Metric Spaces
by: Zhu, Yifan, et al.
Published: (2024)

MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan
by: Wang, Yuxiang, et al.
Published: (2025)

D-CAST: Distributed Consensus Switch in Wireless Trustworthy Autonomous System
by: Yu, Dachao, et al.
Published: (2024)

On-the-fly Communication-and-Computing to Enable Representation Learning for Distributed Point Clouds
by: Chen, Xu, et al.
Published: (2024)

Decentralized Semantic Federated Learning for Real-Time Public Safety Tasks: Challenges, Methods, and Directions
by: Li, Baosheng, et al.
Published: (2025)

Lagom: Unleashing the Power of Communication and Computation Overlapping for Distributed LLM Training
by: Xu, Guanbin, et al.
Published: (2026)

Accelerating Distributed MoE Training and Inference with Lina
by: Li, Jiamin, et al.
Published: (2022)

MoLink: Distributed and Efficient Serving Framework for Large Models
by: Jin, Lewei, et al.
Published: (2025)

Flint: Compiler Enabled Cluster-Free Design Space Exploration for Distributed ML
by: Yoo, Jinsun, et al.
Published: (2026)

Xorbits: Automating Operator Tiling for Distributed Data Science
by: Lu, Weizheng, et al.
Published: (2023)

A Survey of Distributed Graph Algorithms on Massive Graphs
by: Meng, Lingkai, et al.
Published: (2024)

DualMap: Enabling Both Cache Affinity and Load Balancing for Distributed LLM Serving
by: Yuan, Ying, et al.
Published: (2026)

BagChain: A Dual-functional Blockchain Leveraging Bagging-based Distributed Learning
by: Cui, Zixiang, et al.
Published: (2025)

CD-Raft: Reducing the Latency of Distributed Consensus in Cross-Domain Sites
by: Wang, Yangyang, et al.
Published: (2026)

CXL Shared Memory Programming: Barely Distributed and Almost Persistent
by: Xu, Yi, et al.
Published: (2024)