Imagen de Portada

Edge-Cloud Collaborative Pothole Detection via Onboard Event Screening and Federated Temporal Segmentation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Yingjie, Chen, Kongyang, Liang, Tiancai
Formato:	Preprint
Publicado:	2026
Materias:	Distributed, Parallel, and Cluster Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration
por: Wu, Zhiyuan, et al.
Publicado: (2023)

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

ML-ECS: A Collaborative Multimodal Learning Framework for Edge-Cloud Synergies
por: Liu, Yuze, et al.
Publicado: (2026)

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
por: Yu, Di, et al.
Publicado: (2025)

FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding
por: Li, Yuchen, et al.
Publicado: (2026)

A Pipelined Collaborative Speculative Decoding Framework for Efficient Edge-Cloud LLM Inference
por: Zhang, Yida, et al.
Publicado: (2026)

PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
por: Han, Yunhe, et al.
Publicado: (2026)

KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework
por: Shan, Chenggang, et al.
Publicado: (2024)

Collaborative State Machines: A Better Programming Model for the Cloud-Edge-IoT Continuum
por: Etheredge, Marlon, et al.
Publicado: (2025)

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection
por: Chen, Zihao, et al.
Publicado: (2025)

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

Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales
por: Tang, Lujie, et al.
Publicado: (2024)

MSAO: Adaptive Modality Sparsity-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
por: Yang, Zheming, et al.
Publicado: (2026)

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching
por: Liang, Wenyi, et al.
Publicado: (2024)

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

EES-CND: Collaborative Neural Decision-Making for Drift-Aware Fault-Tolerant Edge-Cloud Service Placement
por: Herabad, Mohammadsadeq Garshasbi, et al.
Publicado: (2026)

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges
por: Li, Senyao, et al.
Publicado: (2025)

MoA-Off: Adaptive Heterogeneous Modality-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
por: Yang, Zheming, et al.
Publicado: (2025)

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

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

GeoFaaS: An Edge-to-Cloud FaaS Platform
por: Malekabbasi, Mohammadreza, et al.
Publicado: (2024)

Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning
por: Chen, Jingyun, et al.
Publicado: (2025)

AgentFlow: Resilient Adaptive Cloud-Edge Framework for Multi-Agent Coordination
por: Chen, Ching Han, et al.
Publicado: (2025)

ECCENTRIC: Edge-Cloud Collaboration Framework for Distributed Inference Using Knowledge Adaptation
por: Kamani, Mohammad Mahdi, et al.
Publicado: (2025)

Federated Inference for Heterogeneous LLM Communication and Collaboration
por: Chen, Zihan, et al.
Publicado: (2026)

CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration
por: Jin, Hongpeng, et al.
Publicado: (2024)

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization
por: Gao, Luyao, et al.
Publicado: (2024)

RingAda: Pipelining Large Model Fine-Tuning on Edge Devices with Scheduled Layer Unfreezing
por: Li, Liang, et al.
Publicado: (2025)

Totoro$^+$: An Adaptive and Scalable Edge Federated Learning System
por: Ching, Cheng-Wei, et al.
Publicado: (2026)

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

Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models
por: Gao, Wentao, et al.
Publicado: (2024)

Application-level observability for adaptive Edge to Cloud continuum systems
por: Sidi, Kaddour, et al.
Publicado: (2026)

Distributed Resource Selection for Self-Organising Cloud-Edge Systems
por: Renau, Quentin, et al.
Publicado: (2025)

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

GMB-ECC: Guided Measuring and Benchmarking of the Edge Cloud Continuum
por: Jahnke, Brian-Frederik, et al.
Publicado: (2025)

ContinuumConductor : Decentralized Process Mining on the Edge-Cloud Continuum
por: Reiter, Hendrik, et al.
Publicado: (2025)

Object Abstraction To Streamline Edge-Cloud-Native Application Development
por: Lertpongrujikorn, Pawissanutt
Publicado: (2025)

Can LoRA Fusion Support Cross-Domain Tasks in Cloud-Edge Collaboration?
por: Wang, Yatong, et al.
Publicado: (2026)

Edge-Mapping of Service Function Trees for Sensor Event Processing
por: Shahzaad, Babar, et al.
Publicado: (2024)

TD3-Sched: Learning to Orchestrate Container-based Cloud-Edge Resources via Distributed Reinforcement Learning
por: Song, Shengye, et al.
Publicado: (2025)