Clustered federated learning multi-classifier for non-IID scenario in drone devices. - Jiaming Pei; Zhi Yu; Wenxuan Liu 002; Weili Kong; Jiwei Zhang 007; Lukun Wang (DroneCom@MobiCom, 2022)

When will federated learning transfer from generalization to personalization? - Wenxuan Liu 002; Lukun Wang; Jiaming Pei (Tiny Papers @ ICLR, 2023)

A Pedestrian Attribute Recognition Method Based On Cross-modal Fusion. - Bing Gu; Wenxuan Liu 002; Longfei Li; Lingyun Zhao; Suwei Wu (MLNLP, 2023)

Federated Learning Encounters 6G Wireless Communication in the Scenario of Internet of Things. - Jiaming Pei; Shike Li; Zhi Yu; Laishan Ho; Wenxuan Liu 002; Lukun Wang (IEEE Commun. Stand. Mag., 2023)

Fed-IoUT: Opportunities and Challenges of Federated Learning in the Internet of Underwater Things. - Jiaming Pei; Wenxuan Liu 002; Lukun Wang; Chao Liu 008; Ali Kashif Bashir; Yue Wang (IEEE Internet Things Mag., 2023)

Local Consistency Guidance: Personalized Stylization Method of Face Video (Student Abstract). - Wancheng Feng; Yingchao Liu; Jiaming Pei; Wenxuan Liu 002; Chunpeng Tian; Lukun Wang (AAAI, 2024)

A DC Arc Fault Sensor With Leftover Gated Recurrent Neural Network in Consumer Electronics. - Lukun Wang; Pu Sun; Yunjie Liu; Jiaming Pei; Yaning Shi; Wenxuan Liu 002; Chunpeng Tian (IEEE Trans. Consumer Electron., 2024)

A Review of Federated Learning Methods in Heterogeneous Scenarios. - Jiaming Pei; Wenxuan Liu 002; Jinhai Li 002; Lukun Wang; Chao Liu 008 (IEEE Trans. Consumer Electron., 2024)