Smaller, Smarter, Closer: The Edge of Collaborative Generative AI
Fuente:
arXiv
Saved in:
| Main Authors: | Morabito, Roberto, Jang, SiYoung |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Edge-First Language Model Inference: Models, Metrics, and Tradeoffs
by: Jang, SiYoung, et al.
Published: (2025)
by: Jang, SiYoung, et al.
Published: (2025)
Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices
by: Ye, Shengyuan, et al.
Published: (2025)
by: Ye, Shengyuan, et al.
Published: (2025)
Trust-Aware Routing for Distributed Generative AI Inference at the Edge
by: Nguyen, Chanh, et al.
Published: (2026)
by: Nguyen, Chanh, et al.
Published: (2026)
Generative AI on the Edge: Architecture and Performance Evaluation
by: Nezami, Zeinab, et al.
Published: (2024)
by: Nezami, Zeinab, et al.
Published: (2024)
Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges
by: Chen, Handi, et al.
Published: (2024)
by: Chen, Handi, et al.
Published: (2024)
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing
by: Zeng, Liekang, et al.
Published: (2024)
by: Zeng, Liekang, et al.
Published: (2024)
Agentic Performance at the Edge: Insights from Benchmarking
by: Wang, Shiqiang, et al.
Published: (2026)
by: Wang, Shiqiang, et al.
Published: (2026)
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference
by: Ye, Shengyuan, et al.
Published: (2024)
by: Ye, Shengyuan, et al.
Published: (2024)
HALO: Semantic-Aware Distributed LLM Inference in Lossy Edge Network
by: Zheng, Peirong, et al.
Published: (2026)
by: Zheng, Peirong, et al.
Published: (2026)
Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices
by: Tang, Weiheng, et al.
Published: (2024)
by: Tang, Weiheng, et al.
Published: (2024)
Edge-device Collaborative Computing for Multi-view Classification
by: Palena, Marco, et al.
Published: (2024)
by: Palena, Marco, et al.
Published: (2024)
AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron
by: Reddy, Tella Rajashekhar, et al.
Published: (2025)
by: Reddy, Tella Rajashekhar, et al.
Published: (2025)
Digital Twinning of a Pressurized Water Reactor Startup Operation and Partial Computational Offloading in In-network Computing-Assisted Multiaccess Edge Computing
by: Aliyu, Ibrahim, et al.
Published: (2024)
by: Aliyu, Ibrahim, et al.
Published: (2024)
Cloud Is Closer Than It Appears: Revisiting the Tradeoffs of Distributed Real-Time Inference
by: Sharma, Pragya, et al.
Published: (2026)
by: Sharma, Pragya, et al.
Published: (2026)
High-speed Networking for Giga-Scale AI Factories
by: Khashab, Sajy, et al.
Published: (2026)
by: Khashab, Sajy, et al.
Published: (2026)
Contention-Aware Microservice Deployment in Collaborative Mobile Edge Networks
by: Ge, Xinlei, et al.
Published: (2024)
by: Ge, Xinlei, et al.
Published: (2024)
An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services
by: Wang, Zerui, et al.
Published: (2024)
by: Wang, Zerui, et al.
Published: (2024)
Towards Net-Zero Carbon Emissions in Network AI for 6G and Beyond
by: Zhang, Peng, et al.
Published: (2023)
by: Zhang, Peng, et al.
Published: (2023)
Deep Tech to Space: Space Data Centers and AI Revolution at the Edge
by: Weiss, Jonas, et al.
Published: (2026)
by: Weiss, Jonas, et al.
Published: (2026)
ScaleAcross Explorer: Exploring Communication Optimization for Scale-Across AI Model Training
by: Li, Minghao, et al.
Published: (2026)
by: Li, Minghao, et al.
Published: (2026)
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)
Resource-Efficient Personal Large Language Models Fine-Tuning with Collaborative Edge Computing
by: Ye, Shengyuan, et al.
Published: (2024)
by: Ye, Shengyuan, et al.
Published: (2024)
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks
by: Wang, Su, et al.
Published: (2023)
by: Wang, Su, et al.
Published: (2023)
Federated Continual Learning for Edge-AI: A Comprehensive Survey
by: Wang, Zi, et al.
Published: (2024)
by: Wang, Zi, et al.
Published: (2024)
PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services
by: Yang, Zheming, et al.
Published: (2024)
by: Yang, Zheming, et al.
Published: (2024)
GENIO: Synergizing Edge Computing with Optical Network Infrastructures
by: Cesarano, Carmine, et al.
Published: (2025)
by: Cesarano, Carmine, et al.
Published: (2025)
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
by: Zeng, Liekang, et al.
Published: (2024)
by: Zeng, Liekang, et al.
Published: (2024)
Collective Communication Profiling of Modern-day Machine Learning Workloads
by: Gupta, Jit, et al.
Published: (2025)
by: Gupta, Jit, et al.
Published: (2025)
Optimizing Resource Allocation for Geographically-Distributed Inference by Large Language Models
by: Sun, Tingyang, et al.
Published: (2025)
by: Sun, Tingyang, et al.
Published: (2025)
Optimizing Split Learning Latency in TinyML-Based IoT Systems
by: Jenhani, Zied, et al.
Published: (2025)
by: Jenhani, Zied, et al.
Published: (2025)
Cluster Topology-Driven Placement of Experts Reduces Network Traffic in MoE Inference
by: Sivtsov, Danil, et al.
Published: (2025)
by: Sivtsov, Danil, et al.
Published: (2025)
Enabling Reconfiguration-Communication Overlap for Collective Communication in Optical Networks
by: Wu, Changbo, et al.
Published: (2025)
by: Wu, Changbo, et al.
Published: (2025)
eACGM: Non-instrumented Performance Tracing and Anomaly Detection towards Machine Learning Systems
by: Xu, Ruilin, et al.
Published: (2025)
by: Xu, Ruilin, et al.
Published: (2025)
Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networks
by: Ebrahimi, Alireza, et al.
Published: (2025)
by: Ebrahimi, Alireza, et al.
Published: (2025)
NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing
by: Gao, Fei, et al.
Published: (2024)
by: Gao, Fei, et al.
Published: (2024)
Context-Aware Orchestration of Energy-Efficient Gossip Learning Schemes
by: Dinani, Mina Aghaei, et al.
Published: (2024)
by: Dinani, Mina Aghaei, et al.
Published: (2024)
KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving
by: Liu, Zedong, et al.
Published: (2026)
by: Liu, Zedong, et al.
Published: (2026)
When IoT Meet LLMs: Applications and Challenges
by: Kok, Ibrahim, et al.
Published: (2024)
by: Kok, Ibrahim, et al.
Published: (2024)
When Digital Twin Meets 6G: Concepts, Obstacles, and Research Prospects
by: Liu, Wenshuai, et al.
Published: (2024)
by: Liu, Wenshuai, et al.
Published: (2024)
Move the Query, Not the Cache: Characterizing Cross-Instance Latent Attention Redistribution Across GPU Fabrics
by: Ma, Bole, et al.
Published: (2026)
by: Ma, Bole, et al.
Published: (2026)
Similar Items
-
Edge-First Language Model Inference: Models, Metrics, and Tradeoffs
by: Jang, SiYoung, et al.
Published: (2025) -
Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices
by: Ye, Shengyuan, et al.
Published: (2025) -
Trust-Aware Routing for Distributed Generative AI Inference at the Edge
by: Nguyen, Chanh, et al.
Published: (2026) -
Generative AI on the Edge: Architecture and Performance Evaluation
by: Nezami, Zeinab, et al.
Published: (2024) -
Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges
by: Chen, Handi, et al.
Published: (2024)