Context-Aware Proactive Edge Caching for Vehicular Edge Computing Based on Asynchronous Federated Learning

Zhuofan Liao; Pang Liu; Bin Zheng; Xiaoyong Tang

doi:10.1109/jiot.2025.3552682

ScienceGate Book Chapters

JOURNAL ARTICLE

Context-Aware Proactive Edge Caching for Vehicular Edge Computing Based on Asynchronous Federated Learning

Zhuofan Liao Pang Liu Bin Zheng Xiaoyong Tang

Year: 2025 Journal: IEEE Internet of Things Journal Vol: 12 (13)Pages: 23195-23206 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jiot.2025.3552682

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Edge computing Asynchronous communication Enhanced Data Rates for GSM Evolution Computer network Edge device Context (archaeology) Distributed computing Context model Vehicular ad hoc network Wireless ad hoc network Cloud computing Wireless Artificial intelligence Operating system Object (grammar)

Metrics

Cited By

20.66

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Caching and Content Delivery

Physical Sciences → Computer Science → Computer Networks and Communications

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Context-Aware Proactive Edge Caching for Vehicular Edge Computing Based on Asynchronous Federated Learning

Metrics

Citation History

Topics

Related Documents

Asynchronous Federated Learning Based Mobility-aware Caching in Vehicular Edge Computing

Mobility-aware proactive video caching based on asynchronous federated learning in mobile edge computing systems

Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning

Federated Learning Based Proactive Content Caching in Edge Computing

Asynchronous Federated Learning for Vehicular Edge Caching of Consumer Content