Qi Gao

Dec 30, 2024 | mdpi.com | Qi Gao

2. Methods 2.1. Protocol Registration and Study DesignThe study protocol has been registered in the PROSPERO International Registry of Systematic Reviews (Registration Number CRD42024490348). This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines (PRISMA 2020) [15], as outlined in Table S1. No ethics approval or informed consent was needed for secondary analysis data.

Oct 17, 2024 | arxiv.org | Qi Gao |Peng Li |Mingqiang Wei |Fei Wu

Open access is only possible with YOUR support. Give to arXiv this week to help keep science open for all.

Apr 9, 2024 | dx.doi.org | Yuqi Wang |Jianlong Wang |Hengyu Li |Qi Gao

RETURN TO ARTICLES ASAPPREVEnergy, Environmenta...Energy, Environmental, and Catalysis ApplicationsNEXT Yuqi Wang Guangzhou Institute of Blue Energy, Knowledge City, Huangpu District, Guangzhou 510555, China Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing 100049, China , Jianlong Wang Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of...

Feb 5, 2024 | mdpi.com | Qi Gao |Yi Sun |Xingyuan Chen |Fan Yang

1. IntroductionFederated learning (FL) [1] is a distributed machine learning framework proposed by Google, which enables multiple distributed clients to train models using local private data, and then the global model is established by aggregating the local models from the clients through a central server to achieve distributed collaborative training.

Dec 23, 2023 | mdpi.com | Fan Yang |Yi Sun |Qi Gao |Xingyuan Chen

1. IntroductionWith the rapid development of 5G networks and the wide application of mobile Internet-of-Things (IoT) devices, the traditional cloud computing architecture can no longer satisfy the demand of mobile IoT services, and the unpredictable data access latency between geographically distributed users and remote clouds has become the bottleneck of network services [1].