Cover Image

EdgeOL: Efficient in-situ Online Learning on Edge Devices

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Sheng, Yuan, Geng, Dai, Yue, Wang, Tianyu, Wu, Yawen, Jones, Alex K., Hu, Jingtong, Tony, Geng, Wang, Yanzhi, Yuan, Bo, Ding, Yufei, Tang, Xulong
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
by: Wang, Tianyu, et al.
Published: (2024)

FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization[Technical Report]
by: Zhang, Runhua, et al.
Published: (2025)

LIME:Accelerating Collaborative Lossless LLM Inference on Memory-Constrained Edge Devices
by: Sun, Mingyu, et al.
Published: (2025)

6G EdgeAI: Performance Evaluation and Analysis
by: Yang, Chien-Sheng, et al.
Published: (2025)

GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices
by: Navardi, Mozhgan, et al.
Published: (2025)

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing
by: Sheng, Jinhao, et al.
Published: (2025)

ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction
by: Mehran, Narges, et al.
Published: (2025)

Token Level Routing Inference System for Edge Devices
by: She, Jianshu, et al.
Published: (2025)

EdgeSphere: A Three-Tier Architecture for Cognitive Edge Computing
by: Makaya, Christian, et al.
Published: (2024)

Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device
by: Tayal, Mumuksh, et al.
Published: (2025)

SLICE: SLO-Driven Scheduling for LLM Inference on Edge Computing Devices
by: Chow, Will
Published: (2025)

LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing
by: Tang, Zhiqing, et al.
Published: (2025)

Propius: A Platform for Collaborative Machine Learning across the Edge and the Cloud
by: Ding, Eric
Published: (2025)

Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models
by: K., Prashanthi S., et al.
Published: (2025)

Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices
by: Behera, Adarsh Prasad, et al.
Published: (2024)

Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing
by: Li, Rui, et al.
Published: (2024)

Distributed Edge Analytics in Edge-Fog-Cloud Continuum
by: Srirama, Satish Narayana
Published: (2024)

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge
by: Cao, Jiahe, et al.
Published: (2026)

EdgeFaaS: A Function-based Framework for Edge Computing
by: Jin, Runyu, et al.
Published: (2022)

FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
by: Wu, Zhiyuan, et al.
Published: (2023)

EdgeShard: Efficient LLM Inference via Collaborative Edge Computing
by: Zhang, Mingjin, et al.
Published: (2024)

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices
by: Shen, Tao, et al.
Published: (2025)

RingAda: Pipelining Large Model Fine-Tuning on Edge Devices with Scheduled Layer Unfreezing
by: Li, Liang, 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)

Mobile Edge Computing
by: Ahmed, Sohaib, et al.
Published: (2024)

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)

Edge Intelligence in Satellite-Terrestrial Networks with Hybrid Quantum Computing
by: Huang, Siyue, et al.
Published: (2024)

E-MPC: Edge-assisted Model Predictive Control
by: Lou, Yuan-Yao, et al.
Published: (2024)

A DataOps Toolbox Enabling Continuous Semantic Integration of Devices for Edge-Cloud AI Applications
by: Scrocca, Mario, et al.
Published: (2025)

Flexible Personalized Split Federated Learning for On-Device Fine-Tuning of Foundation Models
by: Yuan, Tianjun, et al.
Published: (2025)

SchEdge: A Dynamic, Multi-agent, and Scalable Scheduling Simulator for IoT Edge
by: Hamedi, Ali, et al.
Published: (2025)

Cost-Effective Edge Data Distribution with End-To-End Delay Guarantees in Edge Computing
by: Shankar, Ravi, et al.
Published: (2025)

Are Unikernels Ready for Serverless on the Edge?
by: Moebius, Felix, et al.
Published: (2024)

CarbonEdge: Leveraging Mesoscale Spatial Carbon-Intensity Variations for Low Carbon Edge Computing
by: Wu, Li, et al.
Published: (2025)

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

EDD-NSTE: Edge Data Distribution as a Network Steiner Tree Estimation in Edge Computing
by: Shankar, Ravi, et al.
Published: (2025)

Towards Seamless Serverless Computing Across an Edge-Cloud Continuum
by: Simion, Emilian, et al.
Published: (2024)

Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation
by: Li, Senyao, et al.
Published: (2026)

Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis
by: Wang, Yanzhi, et al.
Published: (2024)

Learnable Sparse Customization in Heterogeneous Edge Computing
by: Xue, Jingjing, et al.
Published: (2024)