activity
20172026
most citedAccelerating DNN Training in Wireless Federated Edge Learning Systems

10 citations · 25 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2026

Movable-Antenna Enabled Robust Vehicular Consumer Networks Under Imperfect CSI

Xuhui Zhang, Chunjie Wang, Wenchao Liu +4

The accelerating advancement of intelligent transportation systems has established consumer-oriented vehicular networks (CVNs) as a critical infrastructure for next-generation conn…

cs.LG2021★ 1 cited

A New Distributed Method for Training Generative Adversarial Networks

Jinke Ren, Chonghe Liu, Guanding Yu +1

Generative adversarial networks (GANs) are emerging machine learning models for generating synthesized data similar to real data by jointly training a generator and a discriminator…

cs.IT2020★ 4 cited

Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness

Jinke Ren, Yinghui He, Dingzhu Wen +3

In cellular federated edge learning (FEEL), multiple edge devices holding local data jointly train a neural network by communicating learning updates with an access point without e…

cs.IT2019★ 8 cited

An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning

Dingzhu Wen, Xiaoyang Li, Qunsong Zeng +2

The 5G network connecting billions of Internet-of-Things (IoT) devices will make it possible to harvest an enormous amount of real-time mobile data. Furthermore, the 5G virtualizat…

cs.LG2019★ 10 cited

Accelerating DNN Training in Wireless Federated Edge Learning Systems

Jinke Ren, Guanding Yu, Guangyao Ding

Training task in classical machine learning models, such as deep neural networks, is generally implemented at a remote cloud center for centralized learning, which is typically tim…

cs.IT2018

An Edge-Computing Based Architecture for Mobile Augmented Reality

Jinke Ren, Yinghui He, Guan Huang +3

In order to mitigate the long processing delay and high energy consumption of mobile augmented reality (AR) applications, mobile edge computing (MEC) has been recently proposed and…

cs.IT2017★ 2 cited

Latency Optimization for Resource Allocation in Mobile-Edge Computation Offloading

Jinke Ren, Guanding Yu, Yunlong Cai +1

By offloading intensive computation tasks to the edge cloud located at the cellular base stations, mobile-edge computation offloading (MECO) has been regarded as a promising means…