Ringsfl: An adaptive split federated learning towards taming client heterogeneity J Shen, N Cheng, X Wang, F Lyu, W Xu, Z Liu, K Aldubaikhy, X Shen IEEE Transactions on Mobile Computing, 2023 | 45 | 2023 |
Joint resource allocation and user scheduling scheme for federated learning J Shen, N Cheng, Z Yin, W Xu 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 1-5, 2021 | 7 | 2021 |
Effectively heterogeneous federated learning: A pairing and split learning based approach J Shen, X Wang, N Cheng, L Ma, C Zhou, Y Zhang GLOBECOM 2023-2023 IEEE Global Communications Conference, 5847-5852, 2023 | 6 | 2023 |
RingSFL: An Adaptive Federated Learning System for Heterogeneous Clients J Shen, N Cheng, Z Yin, Y Fu, W Xu, S Guo 2023 IEEE/CIC International Conference on Communications in China (ICCC), 1-1, 2023 | 2 | 2023 |
Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication Y Quan, N Cheng, X Wang, J Shen, L Ma, Z Yin 2023 IEEE/CIC International Conference on Communications in China (ICCC), 1-6, 2023 | 2 | 2023 |
Model training method and face recognition method based on adaptive split learning-federated learning N Cheng, J Shen, Z Yin, R Sun, LI Changle US Patent App. 18/737,953, 2024 | | 2024 |