End-Cloud Collaboration Framework for Advanced AI Customer Service in E-commerce
Fuente:
arXiv
Saved in:
| Main Authors: | Teng, Liangyu, Liu, Yang, Liu, Jing, Song, Liang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models
by: Narayan, Avanika, et al.
Published: (2025)
by: Narayan, Avanika, et al.
Published: (2025)
A Structure-Agnostic Co-Tuning Framework for LLMs and SLMs in Cloud-Edge Systems
by: Liu, Yuze, et al.
Published: (2025)
by: Liu, Yuze, et al.
Published: (2025)
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
by: Liu, Jing, et al.
Published: (2025)
by: Liu, Jing, et al.
Published: (2025)
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
by: Zhang, Mohan, et al.
Published: (2025)
by: Zhang, Mohan, et al.
Published: (2025)
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing
by: Dong, Hang, et al.
Published: (2024)
by: Dong, Hang, et al.
Published: (2024)
AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding
by: Li, Zikun, et al.
Published: (2025)
by: Li, Zikun, et al.
Published: (2025)
ECCENTRIC: Edge-Cloud Collaboration Framework for Distributed Inference Using Knowledge Adaptation
by: Kamani, Mohammad Mahdi, et al.
Published: (2025)
by: Kamani, Mohammad Mahdi, et al.
Published: (2025)
Canvas: End-to-End Kernel Architecture Search in Neural Networks
by: Zhao, Chenggang, et al.
Published: (2023)
by: Zhao, Chenggang, et al.
Published: (2023)
Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning
by: Wang, Yuqing, et al.
Published: (2025)
by: Wang, Yuqing, et al.
Published: (2025)
Coral: Cost-Efficient Multi-LLM Serving over Heterogeneous Cloud GPUs
by: Mei, Yixuan, et al.
Published: (2026)
by: Mei, Yixuan, et al.
Published: (2026)
FourierMoE: Fourier Mixture-of-Experts Adaptation of Large Language Models
by: Jiang, Juyong, et al.
Published: (2026)
by: Jiang, Juyong, et al.
Published: (2026)
FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing
by: Liu, Xiao-Yang, et al.
Published: (2024)
by: Liu, Xiao-Yang, et al.
Published: (2024)
Backpropagation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration
by: Ji, Wei, et al.
Published: (2024)
by: Ji, Wei, et al.
Published: (2024)
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
by: Lv, Zheqi, et al.
Published: (2025)
by: Lv, Zheqi, et al.
Published: (2025)
SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications
by: Oliaro, Gabriele, et al.
Published: (2024)
by: Oliaro, Gabriele, et al.
Published: (2024)
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models
by: Liu, Ji, et al.
Published: (2024)
by: Liu, Ji, et al.
Published: (2024)
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
by: Xue, Fuzhao, et al.
Published: (2024)
by: Xue, Fuzhao, et al.
Published: (2024)
MineDraft: A Framework for Batch Parallel Speculative Decoding
by: Tang, Zhenwei, et al.
Published: (2026)
by: Tang, Zhenwei, et al.
Published: (2026)
Etalon: Holistic Performance Evaluation Framework for LLM Inference Systems
by: Agrawal, Amey, et al.
Published: (2024)
by: Agrawal, Amey, et al.
Published: (2024)
CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization
by: Zhang, Zijian, et al.
Published: (2025)
by: Zhang, Zijian, et al.
Published: (2025)
Adaptive and Resource-efficient Agentic AI Systems for Mobile and Embedded Devices: A Survey
by: Liu, Sicong, et al.
Published: (2025)
by: Liu, Sicong, et al.
Published: (2025)
Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services
by: Liu, Zhang, et al.
Published: (2024)
by: Liu, Zhang, et al.
Published: (2024)
MACE: A Hybrid LLM Serving System with Colocated SLO-aware Continuous Retraining Alignment
by: Li, Yufei, et al.
Published: (2025)
by: Li, Yufei, et al.
Published: (2025)
Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference
by: Li, Baolin, et al.
Published: (2024)
by: Li, Baolin, et al.
Published: (2024)
TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training
by: Liang, Wanchao, et al.
Published: (2024)
by: Liang, Wanchao, et al.
Published: (2024)
An AI-Driven Framework for Energy-Efficient Environmental Monitoring in Smart Cities Using Edge Intelligence
by: Liu, Yichen, et al.
Published: (2026)
by: Liu, Yichen, et al.
Published: (2026)
Taming the Titans: A Survey of Efficient LLM Inference Serving
by: Zhen, Ranran, et al.
Published: (2025)
by: Zhen, Ranran, et al.
Published: (2025)
Learned Best-Effort LLM Serving
by: Jha, Siddharth, et al.
Published: (2024)
by: Jha, Siddharth, et al.
Published: (2024)
LongCat-Flash Technical Report
by: Meituan LongCat Team, et al.
Published: (2025)
by: Meituan LongCat Team, et al.
Published: (2025)
Synera: Synergistic LLM Serving across Device and Cloud at Scale
by: Wang, Genglin, et al.
Published: (2025)
by: Wang, Genglin, et al.
Published: (2025)
PAAC: Privacy-Aware Agentic Device-Cloud Collaboration
by: Yuan, Liangqi, et al.
Published: (2026)
by: Yuan, Liangqi, et al.
Published: (2026)
BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching
by: Zheng, Zhen, et al.
Published: (2024)
by: Zheng, Zhen, et al.
Published: (2024)
Glia: A Human-Inspired AI for Automated Systems Design and Optimization
by: Hamadanian, Pouya, et al.
Published: (2025)
by: Hamadanian, Pouya, et al.
Published: (2025)
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts
by: Sun, Weigao, et al.
Published: (2025)
by: Sun, Weigao, et al.
Published: (2025)
KAITIAN: A Unified Communication Framework for Enabling Efficient Collaboration Across Heterogeneous Accelerators in Embodied AI Systems
by: Lin, Jieke, et al.
Published: (2025)
by: Lin, Jieke, et al.
Published: (2025)
PithTrain: A Compact and Agent-Native MoE Training System
by: Lai, Ruihang, et al.
Published: (2026)
by: Lai, Ruihang, et al.
Published: (2026)
AI Factories: It's time to rethink the Cloud-HPC divide
by: Lopez, Pedro Garcia, et al.
Published: (2025)
by: Lopez, Pedro Garcia, et al.
Published: (2025)
The AI_INFN Platform: Artificial Intelligence Development in the Cloud
by: Anderlini, Lucio, et al.
Published: (2025)
by: Anderlini, Lucio, et al.
Published: (2025)
SkyServe: Serving AI Models across Regions and Clouds with Spot Instances
by: Mao, Ziming, et al.
Published: (2024)
by: Mao, Ziming, et al.
Published: (2024)
Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services
by: Patel, Dhavalkumar, et al.
Published: (2024)
by: Patel, Dhavalkumar, et al.
Published: (2024)
Similar Items
-
Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models
by: Narayan, Avanika, et al.
Published: (2025) -
A Structure-Agnostic Co-Tuning Framework for LLMs and SLMs in Cloud-Edge Systems
by: Liu, Yuze, et al.
Published: (2025) -
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
by: Liu, Jing, et al.
Published: (2025) -
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
by: Zhang, Mohan, et al.
Published: (2025) -
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing
by: Dong, Hang, et al.
Published: (2024)