GNN at the Edge: Cost-Efficient Graph Neural Network Processing Over Distributed Edge Servers-Reference-Cited by-同舟云学术

GNN at the Edge: Cost-Efficient Graph Neural Network Processing Over Distributed Edge Servers

Author:

Zeng Liekang¹^ORCID,Yang Chongyu¹,Huang Peng¹^ORCID,Zhou Zhi¹^ORCID,Yu Shuai¹^ORCID,Chen Xu¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

Funder

National Science Foundation of China

Program for Guangdong Introducing Innovative and Entrepreneurial Teams

Basic and Applied Basic Research Foundation of Guangdong Province

Guangdong Provincial Pearl River Talents Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference104 articles.

3. Federated graph classification over non-iid graphs;xie;Proc Adv Neural Inf Process Syst,2021

5. Efficient split-mix federated learning for on-demand and in-situ customization;hong;Proc Int Conf Learn Represent,2021

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