Feng Yu

Hi there! This is Feng Yu, a second-year PhD student in computer science at the University of Exeter, under the supervision of Prof. Jia Hu and Prof. Geyong Min. My research interests are mainly federated learning, continual learning, parameter-efficient fine-tuning and edge intelligence. My research is supported by China Scholarship Council and University of Exeter Scholarships.

I am open to discussing research ideas and seeking academic collaborations. Drop me email if interested!

My previous research works cover several issues : federated learning, blokchain, generative adversarial network, differential privacy and privacy protection. Currently, I am interested in variety of approaches for federated learning (Federated Graph Machine Learning, Federated Continual Learning, etc.) and related applications.

More detail about me, please refer to CV.

News

Nov 20, 2024 The first comprehensive survey FCL for Edge-AI has been released!
Sep 1, 2023 Started my PhD at Exeter!

Selected publications

  1. Blockchain-empowered secure federated learning system: Architecture and applications
    Feng Yu , Hui Lin, Xiaoding Wang, Abdussalam Yassine, and M. Shamim Hossain
    Computer Communications 2022
  2. Communication-Efficient Personalized Federated Meta-Learning in Edge Networks
    Feng Yu , Hui Lin, Xiaoding Wang, Sahil Garg, Georges Kaddoum, Satinder Singh, and Mohammad Mehedi Hassan
    IEEE Transactions on Network and Service Management 2023
  1. Federated Continual Learning for Edge-AI: A Comprehensive Survey
    Zi Wang, Fei Wu, Feng Yu , Yurui Zhou, Jia Hu, and Geyong Min
    arXiv preprint arXiv:2411.13740 2024
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