Work

Training Data Cost Ratio Optimization for Federated Learning in Cellular Internet of Things

Year: 2024

Type: article

Source: IEEE Internet of Things Journal

DOI: 10.1109/jiot.2024.3514864

Authors: Yulun Cheng, Yiyang Ni, Haitao Zhao, Wenchao Xia, Longxiang Yang

Institutions: Nanjing University of Posts and Telecommunications, Jiangsu Second Normal University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Jiangsu Provincial Key Research and Development Program, National Key Research and Development Program of China, National Science Fund for Distinguished Young Scholars

Awards: G2637521528, G3389102418, G4505709824, G486085560, G5952360311, G7075795604, G7290676604, G8383605598

OpenAlex ID: W4405232229

FWCI: 0.884

Cites: 32

Cited by: 6

Related to: 10