Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks

Author:

Feng Chenyuan1,Yang Howard H.2ORCID,Hu Deshun3ORCID,Zhao Zhiwei4ORCID,Quek Tony Q. S.5ORCID,Min Geyong6ORCID

Affiliation:

1. Shenzhen Key Laboratory of Digital Creative Technology, Shenzhen University, Shenzhen, China

2. Zhejiang University/University of Illinois at Urbana–Champaign Institute, Zhejiang University, Haining, China

3. Department of Communication Engineering, Harbin Institute of Technology, Harbin, China

4. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

5. Information Systems Technology and Design, Singapore University of Technology and Design, Singapore

6. Department of Computer Science, College of Engineering Mathematics and Physical Sciences, University of Exeter, Exeter, U.K.

Funder

Zhejiang Provincial Natural Science Foundation of China

Zhejiang University/University of Illinois at Urbana–Champaign (ZJU-UIUC) Institute Starting Fund

ZJU-UIUC Joint Research Center Project

National Research Foundation, Singapore, and Infocomm Media Development Authority under its Future Communications Research & Development Program

Singapore University of Technology and Design Growth Plan Grant for AI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Reference36 articles.

1. Asynchronous parallel stochastic gradient for nonconvex optimization;lian;Proc Int Conf Neural Infor Process Syst (NIPS),2015

2. Variance-Reduced Stochastic Learning by Networked Agents Under Random Reshuffling

3. From distributed machine learning to federated learning: A survey;liu;arXiv 2104 14362,2021

4. Advances and open problems in federated learning;kairouz;arXiv 1912 04977,2019

5. Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms;xiao;ArXiv 1708 07747,2017

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