AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy-Reference-Cited by-同舟云学术

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AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy

Published:2023 Issue: Volume: Page:1-14
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Zhao Zihao¹^ORCID,Mao Yuzhu¹,Shi Zhenpeng¹,Liu Yang²^ORCID,Lan Tian³^ORCID,Ding Wenbo¹^ORCID,Zhang Xiao-Ping¹^ORCID

Affiliation:

1. Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, China

2. Institute for AI Industry Research (AIR), Tsinghua University, China

3. Department of Electrical and Computer Engineering, George Washington University, DC, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/10319317.pdf?arnumber=10319317

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