QuAsyncFL: Asynchronous Federated Learning With Quantization for Cloud–Edge–Terminal Collaboration Enabled AIoT-Reference-Cited by-同舟云学术

QuAsyncFL: Asynchronous Federated Learning With Quantization for Cloud–Edge–Terminal Collaboration Enabled AIoT

Author:

Liu Ye¹^ORCID,Huang Peishan²^ORCID,Yang Fan³^ORCID,Huang Kai⁴^ORCID,Shu Lei⁵

Affiliation:

1. Key Laboratory of Architectural Acoustic Environment of Anhui Higher Education Institutes, Hefei, China

2. School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China

3. School of Mathematics and Statistics, Jiangsu Normal University, Xuzhou, China

4. Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, Nanjing, China

5. Nanjing Agricultural University, Nanjing, China

Funder

Open Foundation of the Key Laboratory of Architectural Acoustic Environment of Anhui Higher Education Institutes

Macau Young Scholars Program

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference50 articles.

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