Search Results for author: Jinke Ren

Found 4 papers, 0 papers with code

A New Distributed Method for Training Generative Adversarial Networks

no code implementations19 Jul 2021 Jinke Ren, Chonghe Liu, Guanding Yu, Dongning Guo

This paper proposes a new framework for training GANs in a distributed fashion: Each device computes a local discriminator using local data; a single server aggregates their results and computes a global GAN.

Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness

no code implementations1 Apr 2020 Jinke Ren, Yinghui He, Dingzhu Wen, Guanding Yu, Kaibin Huang, Dongning Guo

In this paper, a novel scheduling policy is proposed to exploit both diversity in multiuser channels and diversity in the "importance" of the edge devices' learning updates.

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

no code implementations10 Nov 2019 Dingzhu Wen, Xiaoyang Li, Qunsong Zeng, Jinke Ren, Kaibin Huang

Specifically, the metrics that measure data importance in active learning (e. g., classification uncertainty and data diversity) are applied to RRM for efficient acquisition of distributed data in wireless networks to train AI models at servers.

Active Learning BIG-bench Machine Learning +1

Accelerating DNN Training in Wireless Federated Edge Learning Systems

no code implementations23 May 2019 Jinke Ren, Guanding Yu, Guangyao Ding

The optimal solution in this scenario is manifested to have the similar structure as that of the CPU scenario, recommending that our proposed algorithm is applicable in more general systems.

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