Work

Communication-and-Energy Efficient Over-the-Air Federated Learning

Year: 2024

Type: article

Source: IEEE Transactions on Wireless Communications

DOI: 10.1109/twc.2024.3501297

Authors: Yipeng Liang, Qimei Chen, Guangxu Zhu, Hao Jiang, Yonina C. Eldar, Shuguang Cui

Institutions: Wuhan University, Shenzhen Research Institute of Big Data, Weizmann Institute of Science, Chinese University of Hong Kong, Chinese University of Hong Kong, Shenzhen

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, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G2788439015, G5092299349, G6352250275

OpenAlex ID: W4404687980

FWCI: 3.845

Cites: 40

Cited by: 26

Related to: 10