MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Hongtao, Chang, Xiaojun, Hu, Wen, Yao, Lina |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Performance Evaluation of Automated Multi-Service Deployment in Edge-Cloud Environments with the CODECO Toolkit
by: Koukis, Georgios, et al.
Published: (2026)
by: Koukis, Georgios, et al.
Published: (2026)
Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation
by: Li, Senyao, et al.
Published: (2026)
by: Li, Senyao, et al.
Published: (2026)
Mobile Edge Computing
by: Ahmed, Sohaib, et al.
Published: (2024)
by: Ahmed, Sohaib, et al.
Published: (2024)
Bridge the Present and Future: A Cross-Layer Matching Game in Dynamic Cloud-Aided Mobile Edge Networks
by: Qi, Houyi, et al.
Published: (2023)
by: Qi, Houyi, et al.
Published: (2023)
Dynamic Resource Manager for Automating Deployments in the Computing Continuum
by: Samani, Zahra Najafabadi, et al.
Published: (2024)
by: Samani, Zahra Najafabadi, et al.
Published: (2024)
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)
Strategic Server Deployment under Uncertainty in Mobile Edge Computing
by: Tran, Duc A., et al.
Published: (2025)
by: Tran, Duc A., et al.
Published: (2025)
Contention-Aware Microservice Deployment in Collaborative Mobile Edge Networks
by: Ge, Xinlei, et al.
Published: (2024)
by: Ge, Xinlei, et al.
Published: (2024)
Failure-Resilient and Carbon-Efficient Deployment of Microservices over the Cloud-Edge Continuum
by: Ponce, Francisco, et al.
Published: (2026)
by: Ponce, Francisco, et al.
Published: (2026)
Topology-aware Microservice Architecture in Edge Networks: Deployment Optimization and Implementation
by: Chen, Yuang, et al.
Published: (2025)
by: Chen, Yuang, et al.
Published: (2025)
6G EdgeAI: Performance Evaluation and Analysis
by: Yang, Chien-Sheng, et al.
Published: (2025)
by: Yang, Chien-Sheng, et al.
Published: (2025)
SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving
by: Zhou, Qihui, et al.
Published: (2025)
by: Zhou, Qihui, et al.
Published: (2025)
Infer-EDGE: Dynamic DNN Inference Optimization in 'Just-in-time' Edge-AI Implementations
by: Mounesan, Motahare, et al.
Published: (2025)
by: Mounesan, Motahare, et al.
Published: (2025)
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
by: Singh, Jaskirat, et al.
Published: (2024)
by: Singh, Jaskirat, et al.
Published: (2024)
GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices
by: Navardi, Mozhgan, et al.
Published: (2025)
by: Navardi, Mozhgan, et al.
Published: (2025)
AB-Sparse: Sparse Attention with Adaptive Block Size for Accurate and Efficient Long-Context Inference
by: Liu, Di, et al.
Published: (2026)
by: Liu, Di, et al.
Published: (2026)
Semantic-aware Token Selection and Resource Optimization for Communication-efficient Split Federated Fine-tuning in Edge Intelligence
by: Qiang, Xianke, et al.
Published: (2026)
by: Qiang, Xianke, et al.
Published: (2026)
Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku
by: Xu, Hongtao, et al.
Published: (2025)
by: Xu, Hongtao, et al.
Published: (2025)
Automating Multi-Tenancy Performance Evaluation on Edge Compute Nodes
by: Georgiou, Joanna, et al.
Published: (2025)
by: Georgiou, Joanna, et al.
Published: (2025)
Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator
by: Peccia, Federico Nicolas, et al.
Published: (2024)
by: Peccia, Federico Nicolas, et al.
Published: (2024)
Distributed Convolutional Neural Network Training on Mobile and Edge Clusters
by: Rama, Pranav, et al.
Published: (2024)
by: Rama, Pranav, et al.
Published: (2024)
EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update
by: Li, Jiaxing, et al.
Published: (2024)
by: Li, Jiaxing, et al.
Published: (2024)
Edge AI: A Taxonomy, Systematic Review and Future Directions
by: Gill, Sukhpal Singh, et al.
Published: (2024)
by: Gill, Sukhpal Singh, et al.
Published: (2024)
Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement
by: Wu, Tian, et al.
Published: (2025)
by: Wu, Tian, et al.
Published: (2025)
Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
by: Gao, Chuanchao, et al.
Published: (2025)
by: Gao, Chuanchao, et al.
Published: (2025)
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)
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)
FEDQ-Trust: Efficient Data-Driven Trust Prediction for Mobile Edge-Based IoT Systems
by: Bai, Jiahui, et al.
Published: (2024)
by: Bai, Jiahui, et al.
Published: (2024)
Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales
by: Tang, Lujie, et al.
Published: (2024)
by: Tang, Lujie, et al.
Published: (2024)
6G Infrastructures for Edge AI: An Analytical Perspective
by: Horvath, Kurt, et al.
Published: (2025)
by: Horvath, Kurt, et al.
Published: (2025)
Agentic AI-Driven UAV Network Deployment: An LLM-Enhanced Exact Potential Game Approach
by: Tang, Xin, et al.
Published: (2026)
by: Tang, Xin, et al.
Published: (2026)
MATCHA: Efficient Deployment of Deep Neural Networks on Multi-Accelerator Heterogeneous Edge SoCs
by: Russo, Enrico, et al.
Published: (2026)
by: Russo, Enrico, et al.
Published: (2026)
Task Graph offloading via Deep Reinforcement Learning in Mobile Edge Computing
by: Liu, Jiagang, et al.
Published: (2023)
by: Liu, Jiagang, et al.
Published: (2023)
More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs
by: Zhang, Li, et al.
Published: (2022)
by: Zhang, Li, et al.
Published: (2022)
Lotus: Optimizing Disaggregated Transactions with Disaggregated Locks
by: Hu, Zhisheng, et al.
Published: (2025)
by: Hu, Zhisheng, et al.
Published: (2025)
POSEIDON : Efficient Function Placement at the Edge using Deep Reinforcement Learning
by: Jain, Prakhar, et al.
Published: (2024)
by: Jain, Prakhar, et al.
Published: (2024)
Scale: Deep Reinforcement Learning for Container Scheduling in Serverless Edge Computing
by: Chen, Chen, et al.
Published: (2026)
by: Chen, Chen, et al.
Published: (2026)
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)
SynergAI: Edge-to-Cloud Synergy for Architecture-Driven High-Performance Orchestration for AI Inference
by: Stathopoulou, Foteini, et al.
Published: (2025)
by: Stathopoulou, Foteini, et al.
Published: (2025)
Fulcrum: Optimizing Concurrent DNN Training and Inferencing on Edge Accelerators
by: K., Prashanthi S., et al.
Published: (2025)
by: K., Prashanthi S., et al.
Published: (2025)
Similar Items
-
Performance Evaluation of Automated Multi-Service Deployment in Edge-Cloud Environments with the CODECO Toolkit
by: Koukis, Georgios, et al.
Published: (2026) -
Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation
by: Li, Senyao, et al.
Published: (2026) -
Mobile Edge Computing
by: Ahmed, Sohaib, et al.
Published: (2024) -
Bridge the Present and Future: A Cross-Layer Matching Game in Dynamic Cloud-Aided Mobile Edge Networks
by: Qi, Houyi, et al.
Published: (2023) -
Dynamic Resource Manager for Automating Deployments in the Computing Continuum
by: Samani, Zahra Najafabadi, et al.
Published: (2024)