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Jie Ma
Jie Ma
Australian AI Institute, University of Technology Sydney.
Подтвержден адрес электронной почты в домене uts.edu.au
Название
Процитировано
Процитировано
Год
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
1872022
On the convergence of clustered federated learning
J Ma, G Long, T Zhou, J Jiang, C Zhang
arXiv preprint arXiv:2202.06187, 2022
572022
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
302021
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
222021
Structured federated learning through clustered additive modeling
J Ma, T Zhou, G Long, J Jiang, C Zhang
Advances in Neural Information Processing Systems 36, 43097-43107, 2023
132023
Personalized Federated Learning with Robust Clustering against Model Poisoning
J Ma, M Xie, G Long
ADMA 2022, 0
6*
Robust Clustered Federated Learning with Bootstrap Median-of-Means
M Xie, J MA, G Long, C Zhang
APWEB-WAIM 2022, 0
2*
Multi-level additive modeling for structured non-iid federated learning
S Chen, T Zhou, G Long, J Ma, J Jiang, C Zhang
arXiv preprint arXiv:2405.16472, 2024
12024
Clustered Federated Learning
J Ma
PQDT-Global, 2023
2023
FedPCL: Learning to Blend Representations for Federated Prototype Learning
G Long, J Ma, J Jiang, L Liu, T Zhou, Y Tan
2022
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