Publications

•   Probably Approximately Correct Federated Learning

    Authors: Xiaojin Zhang, Anbu Huang, Lixin Fan, Kai Chen, Qiang Yang
    ArXiv Preprint; under review in Journal of Machine Learning Research (JMLR), 2023
    [ Paper]

•   Federated Learning with Privacy-preserving and Model IP-right-Protection

    Authors: Qiang Yang, Anbu Huang, Lixin Fan, Chee Seng Chan, Jian Han Lim, Kam Woh Ng, Ding Sheng Ong, Bowen Li
    Published in Machine Intelligence Research, 2022
    [ Paper]    [ Scholar]    [ Cite]

•   StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing

    Authors: Anbu Huang, Yang Liu, Tianjian Chen, Yongkai Zhou, Quan Sun, Hongfeng Chai, Qiang Yang
    Published in ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021
    [ Paper]    [ Scholar]    [ Cite]

•   Federated Learning-Powered Visual Object Detection for Safety Monitoring

    Authors: Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang
    Published in AI Magazine, 2021
    [ Paper]    [ Scholar]    [ Cite]

•   Dynamic backdoor attacks against federated learning

    Authors: Anbu Huang
    Published in ArXiv Preprint, 2021
    [ Paper]    [ Scholar]    [ Cite]

•   Fedvision: An online visual object detection platform powered by federated learning

    Authors: Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang
    Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2020
    [ Paper]    [ Scholar]    [ Slide]    [ Cite]    [ Code]

•   RPN: A residual pooling network for efficient federated learning

    Authors: Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang
    Published in European Conference on Artificial Intelligence (ECAI), 2020
    [ Paper]    [ Scholar]    [ Cite]

•   SolarNet: A Deep Learning Framework to Map Solar Plants In China From Satellite Imagery

    Authors: Xin Hou, Biao Wang, Wanqi Hu, Lei Yin, Anbu Huang, Haishan Wu
    Published in ICLR 2020 Workshop on Tackling Climate Change with Machine Learning, 2020
    [ Paper]    [ Scholar]    [ Slide]    [ Video]    [ Cite]

•   Privacy-preserving heterogeneous federated transfer learning

    Authors: Dashan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang
    Published in IEEE International Conference on Big Data (Big Data), 2019
    [ Paper]    [ Scholar]    [ Cite]

•   Real-world image datasets for federated learning

    Authors: Jiahuan Luo, Xueyang Wu, Yun Luo, Anbu Huang, Yunfeng Huang, Yang Liu, Qiang Yang
    Published in NeurIPS Workshop on Federated Learning for Data Privacy and Confidentiality, 2019
    [ Paper]    [ Scholar]    [ Cite]    [ Code]