Search

Ning Zhang

Learning-Based Query Scheduling and Resource Allocation for Low-Latency Mobile Edge Video Analytics
DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices
FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction
A survey on sleep mode techniques for ultra-dense networks in 5G and beyond
Edge Learning for Low-Latency Video Analytics: Query Scheduling and Resource Allocation
DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing
Online Proactive Caching in Mobile Edge Computing Using Bidirectional Deep Recurrent Neural Network

Published with Wowchemy — the free, open source website builder that empowers creators.