Semi-Decentralized Federated Edge Learning With Data and Device Heterogeneity-Reference-Cited by-同舟云学术

Semi-Decentralized Federated Edge Learning With Data and Device Heterogeneity

Author:

Sun Yuchang¹^ORCID,Shao Jiawei¹^ORCID,Mao Yuyi²^ORCID,Wang Jessie Hui³^ORCID,Zhang Jun¹^ORCID

Affiliation:

1. Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong

2. Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

3. Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference39 articles.

1. Multi-level local SGD: Distributed SGD for heterogeneous hierarchical networks;castiglia;Proc Int Conf Learn Represent (ICLR),2020

2. The non-IID data quagmire of decentralized machine learning;hsieh;Proc Int Conf Mach Learn (ICML),2020

3. Local averaging helps: Hierarchical federated learning and convergence analysis;wang;arXiv 2010 12998,2020

4. Learning multiple layers of features from Tiny images;krizhevsky,2009

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