FedUTN: federated self-supervised learning with updating target network - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Simou Li, Yuxing Mao, Jian Li, Yihang Xu, Jinsen Li, Xueshuo Chen, Siyang Liu, Xianping Zhao. FedUTN: federated self-supervised learning with updating target network. Appl. Intell., 53(9):10879-10892, May 2023. [doi]

The following publications are possibly variants of this publication:

Quality-Oriented Federated Learning on the FlyFei Wang, Baochun Li, Bo Li. network, 36(5):152-159, 2022. [doi]

Secure Federated Learning in Quantum Autonomous Vehicular NetworksQichao Xu, Lifeng Zhao, Zhou Su, Dongfeng Fang, Ruidong Li. network, 37(6):240-247, November 2023. [doi]

Blockchain-Based Federated Learning: A Systematic SurveyJunqin Huang, Linghe Kong, Guihai Chen, Qiao Xiang, Xi Chen 0009, Xue (Steve) Liu. network, 37(6):150-157, November 2023. [doi]

Byzantine Resistant Secure Blockchained Federated Learning at the EdgeZonghang Li, Hongfang Yu, Tianyao Zhou, Long Luo, Mochan Fan, Zenglin Xu, Gang Sun. network, 35(4):295-301, 2021. [doi]

runs on WebDSL