EdgeShard: Efficient LLM Inference via Collaborative Edge Computing
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Mingjin, Cao, Jiannong, Shen, Xiaoming, Cui, Zeyang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Resource-efficient Parallel Split Learning in Heterogeneous Edge Computing
by: Zhang, Mingjin, et al.
Published: (2024)
by: Zhang, Mingjin, et al.
Published: (2024)
PolyLink: A Blockchain Based Decentralized Edge AI Platform for LLM Inference
by: Liu, Hongbo, et al.
Published: (2025)
by: Liu, Hongbo, et al.
Published: (2025)
Multi-Source Coflow Scheduling in Collaborative Edge Computing with Multihop Network
by: Sahni, Yuvraj, et al.
Published: (2024)
by: Sahni, Yuvraj, et al.
Published: (2024)
LIME:Accelerating Collaborative Lossless LLM Inference on Memory-Constrained Edge Devices
by: Sun, Mingyu, et al.
Published: (2025)
by: Sun, Mingyu, et al.
Published: (2025)
A Pipelined Collaborative Speculative Decoding Framework for Efficient Edge-Cloud LLM Inference
by: Zhang, Yida, et al.
Published: (2026)
by: Zhang, Yida, et al.
Published: (2026)
Efficient Routing of Inference Requests across LLM Instances in Cloud-Edge Computing
by: Yu, Shibo, et al.
Published: (2025)
by: Yu, Shibo, et al.
Published: (2025)
StableShard: Stable and Scalable Blockchain Sharding with High Concurrency via Collaborative Committees
by: Li, Mingzhe, et al.
Published: (2024)
by: Li, Mingzhe, et al.
Published: (2024)
Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing
by: Li, Rui, et al.
Published: (2024)
by: Li, Rui, et al.
Published: (2024)
CCRSat: A Collaborative Computation Reuse Framework for Satellite Edge Computing Networks
by: Zhang, Ye, et al.
Published: (2025)
by: Zhang, Ye, et al.
Published: (2025)
MSAO: Adaptive Modality Sparsity-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
by: Yang, Zheming, et al.
Published: (2026)
by: Yang, Zheming, 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)
SLICE: SLO-Driven Scheduling for LLM Inference on Edge Computing Devices
by: Chow, Will
Published: (2025)
by: Chow, Will
Published: (2025)
PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
by: Han, Yunhe, et al.
Published: (2026)
by: Han, Yunhe, et al.
Published: (2026)
LLM-Enhanced Deep Reinforcement Learning for Task Offloading in Collaborative Edge Computing
by: Guo, Hao, et al.
Published: (2026)
by: Guo, Hao, et al.
Published: (2026)
CoEdge-RAG: Optimizing Hierarchical Scheduling for Retrieval-Augmented LLMs in Collaborative Edge Computing
by: Hong, Guihang, et al.
Published: (2025)
by: Hong, Guihang, et al.
Published: (2025)
Adaptive Device-Edge Collaboration on DNN Inference in AIoT: A Digital Twin-Assisted Approach
by: Hu, Shisheng, et al.
Published: (2024)
by: Hu, Shisheng, et al.
Published: (2024)
Understanding the Performance and Power of LLM Inferencing on Edge Accelerators
by: Arya, Mayank, et al.
Published: (2025)
by: Arya, Mayank, et al.
Published: (2025)
Toward Sustainability-Aware LLM Inference on Edge Clusters
by: Rajashekar, Kolichala, et al.
Published: (2025)
by: Rajashekar, Kolichala, et al.
Published: (2025)
HybridFlow: Resource-Adaptive Subtask Routing for Efficient Edge-Cloud LLM Inference
by: Dong, Jiangwen, et al.
Published: (2025)
by: Dong, Jiangwen, et al.
Published: (2025)
Communication-Efficient Collaborative LLM Inference over LEO Satellite Networks
by: Zhang, Songge, et al.
Published: (2026)
by: Zhang, Songge, et al.
Published: (2026)
Decentralized LLM Inference over Edge Networks with Energy Harvesting
by: Khoshsirat, Aria, et al.
Published: (2024)
by: Khoshsirat, Aria, et al.
Published: (2024)
SP-Chain: Boosting Intra-Shard and Cross-Shard Security and Performance in Blockchain Sharding
by: Li, Mingzhe, et al.
Published: (2024)
by: Li, Mingzhe, et al.
Published: (2024)
Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching
by: Liang, Wenyi, et al.
Published: (2024)
by: Liang, Wenyi, et al.
Published: (2024)
Barycentric Coded Distributed Computing with Flexible Recovery Threshold for Collaborative Mobile Edge Computing
by: Qiu, Houming, et al.
Published: (2025)
by: Qiu, Houming, et al.
Published: (2025)
Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing
by: Sheng, Jinhao, et al.
Published: (2025)
by: Sheng, Jinhao, et al.
Published: (2025)
Mobile Edge Computing
by: Ahmed, Sohaib, et al.
Published: (2024)
by: Ahmed, Sohaib, et al.
Published: (2024)
EdgeFaaS: A Function-based Framework for Edge Computing
by: Jin, Runyu, et al.
Published: (2022)
by: Jin, Runyu, et al.
Published: (2022)
PICE: A Semantic-Driven Progressive Inference System for LLM Serving in Cloud-Edge Networks
by: Zhan, Huiyou, et al.
Published: (2025)
by: Zhan, Huiyou, et al.
Published: (2025)
EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge
by: Cao, Jiahe, et al.
Published: (2026)
by: Cao, Jiahe, 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)
Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism
by: Wei, Jinhui, et al.
Published: (2025)
by: Wei, Jinhui, et al.
Published: (2025)
Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges
by: Li, Senyao, et al.
Published: (2025)
by: Li, Senyao, et al.
Published: (2025)
ML-ECS: A Collaborative Multimodal Learning Framework for Edge-Cloud Synergies
by: Liu, Yuze, et al.
Published: (2026)
by: Liu, Yuze, et al.
Published: (2026)
DynaShard: Secure and Adaptive Blockchain Sharding Protocol with Hybrid Consensus and Dynamic Shard Management
by: Liu, Ao, et al.
Published: (2024)
by: Liu, Ao, et al.
Published: (2024)
EdgeSphere: A Three-Tier Architecture for Cognitive Edge Computing
by: Makaya, Christian, et al.
Published: (2024)
by: Makaya, Christian, et al.
Published: (2024)
Parallel Collaborative ADMM Privacy Computing and Adaptive GPU Acceleration for Distributed Edge Networks
by: Xia, Mengchun, et al.
Published: (2026)
by: Xia, Mengchun, et al.
Published: (2026)
MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines
by: Gao, Lei, et al.
Published: (2024)
by: Gao, Lei, et al.
Published: (2024)
Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs
by: Ng, Nathan, et al.
Published: (2026)
by: Ng, Nathan, et al.
Published: (2026)
Learning the Optimal Path and DNN Partition for Collaborative Edge Inference
by: Huang, Yin, et al.
Published: (2024)
by: Huang, Yin, et al.
Published: (2024)
Environment-Aware Dynamic Pruning for Pipelined Edge Inference
by: O'Quinn, Austin, et al.
Published: (2025)
by: O'Quinn, Austin, et al.
Published: (2025)
Similar Items
-
Resource-efficient Parallel Split Learning in Heterogeneous Edge Computing
by: Zhang, Mingjin, et al.
Published: (2024) -
PolyLink: A Blockchain Based Decentralized Edge AI Platform for LLM Inference
by: Liu, Hongbo, et al.
Published: (2025) -
Multi-Source Coflow Scheduling in Collaborative Edge Computing with Multihop Network
by: Sahni, Yuvraj, et al.
Published: (2024) -
LIME:Accelerating Collaborative Lossless LLM Inference on Memory-Constrained Edge Devices
by: Sun, Mingyu, et al.
Published: (2025) -
A Pipelined Collaborative Speculative Decoding Framework for Efficient Edge-Cloud LLM Inference
by: Zhang, Yida, et al.
Published: (2026)