Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients. - Jun Li 004; Yumeng Shao; Ming Ding 001; Chuan Ma 001; Kang Wei; Zhu Han 001; H. Vincent Poor (CoRR, 2020)

Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation. - Jun Li 004; Yumeng Shao; Kang Wei; Ming Ding 001; Chuan Ma 001; Long Shi 001; Zhu Han 001; H. Vincent Poor (IEEE Trans. Parallel Distributed Syst., 2022)

FedSKG: Self-supervised Federated Learning with Structural Knowledge of Global Model. - Jun Li 004; Dan Luo; Kang Wei; Zhen Mei; Yumeng Shao (ICPADS, 2023)

Trustworthy DNN partition for blockchain-enabled digital twin in wireless IIoT networks. - Xiumei Deng; Jun Li 004; Long Shi 001; Kang Wei; Ming Ding 001; Yumeng Shao; Wen Chen 001; Shi Jin 002 (Sci. China Inf. Sci., 2024)

Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations. - Yumeng Shao; Jun Li 004; Long Shi 001; Kang Wei; Ming Ding 001; Qianmu Li; Zengxiang Li; Wen Chen 001; Shi Jin 002 (CoRR, 2024)

A novel classification framework for genome-wide association study of whole brain MRI images using deep learning. - Shaojun Yu; Junjie Wu; Yumeng Shao; Deqiang Qiu; Zhaohui S. Qin (PLoS Comput. Biol., 2024)

Design of Anti-Plagiarism Mechanisms in Decentralized Federated Learning. - Yumeng Shao; Jun Li 004; Ming Ding 001; Kang Wei; Chuan Ma 001; Long Shi 001; Wen Chen 001; Shi Jin 002 (IEEE Trans. Serv. Comput., 2024)