Hierarchical Federated Learning With Quantization: Convergence Analysis and System Design-Reference-Cited by-同舟云学术

Hierarchical Federated Learning With Quantization: Convergence Analysis and System Design

Author:

Liu Lumin¹^ORCID,Zhang Jun¹^ORCID,Song Shenghui¹^ORCID,Letaief Khaled B.¹^ORCID

Affiliation:

1. Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong

Funder

General Research Fund from the Research Grants Council of Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

Reference31 articles.

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2. ATOMO: Communication-efficient learning via atomic sparsification;wang;Proc Adv Neural Inf Process Syst,2018

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5. Ensemble distillation for robust model fusion in federated learning;lin;Proc Adv Neural Inf Process Syst,2020

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