Federated learning from pre-trained models: A contrastive learning approach Y Tan, G Long, J Ma, L Liu, T Zhou, J Jiang Advances in Neural Information Processing Systems 35, 19332-19344, 2022 | 50 | 2022 |
On the convergence of clustered federated learning J Ma, G Long, T Zhou, J Jiang, C Zhang arXiv preprint arXiv:2202.06187, 2022 | 27 | 2022 |
Deepmmsa: A novel multimodal deep learning method for non-small cell lung cancer survival analysis Y Wu, J Ma, X Huang, SH Ling, SW Su 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 13 | 2021 |
Pareto policy pool for model-based offline reinforcement learning Y Yang, J Jiang, T Zhou, J Ma, Y Shi International Conference on Learning Representations, 2021 | 13 | 2021 |
Personalized Federated Learning with Robust Clustering against Model Poisoning J Ma, M Xie, G Long ADMA 2022, 0 | 2* | |
Structured Federated Learning through Clustered Additive Modeling J Ma, T Zhou, G Long, J Jiang, C Zhang Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |
Robust Clustered Federated Learning with Bootstrap Median-of-Means M Xie, J MA, G Long, C Zhang APWEB-WAIM 2022, 0 | | |