I will be becoming a full-time PhD student in 2023 fall at the University of Exeter, UK,
under the supervision of Dr. Jia Hu and Prof. Geyong Min. My research interests are mainly edge artificial intelligence, federated learning, and continual learning. My research is supported by China Scholarship Council and University of Exeter Scholarships.
My previous research work covers several issues : federated learning, blokchain, generative adversarial network, differential privacy and privacy-preserving. Currently, I am interesting in variety of approaches for federated learning
(Federated Graph Machine Learning, Federated Continual Learning, etc.) and related applications.
@article{YU202255,title={Blockchain-empowered secure federated learning system: Architecture and applications},journal={Computer Communications},volume={196},pages={55-65},year={2022},issn={0140-3664},doi={https://doi.org/10.1016/j.comcom.2022.09.008},url={https://www.sciencedirect.com/science/article/pii/S0140366422003474},author={Yu, Feng and Lin, Hui and Wang, Xiaoding and Yassine, Abdussalam and Hossain, M. Shamim},html={https://doi.org/10.1016/j.comcom.2022.09.008},pdf={bfl_comcom2022.pdf},bibtex_show={true},abbr={COMCOM},selected={true}}
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
@article{yu_communication-efficient_2023,title={Communication-Efficient Personalized Federated Meta-Learning in Edge Networks},copyright={4.758},issn={1932-4537},doi={10.1109/TNSM.2023.3263831},journal={IEEE Transactions on Network and Service Management},author={Yu, Feng and Lin, Hui and Wang, Xiaoding and Garg, Sahil and Kaddoum, Georges and Singh, Satinder and Hassan, Mohammad Mehedi},year={2023},pages={1--1},html={https://doi.org/10.1109/tnsm.2023.3263831},bibtex_show={true},abbr={TNSM},selected={true}}
