GRNN: generative regression neural network—a data leakage attack for federated learning H Ren, J Deng, X Xie ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-24, 2022 | 100 | 2022 |
FedBoosting: Federated learning with gradient protected boosting for text recognition H Ren, J Deng, X Xie, X Ma, Y Wang Neurocomputing 569, 127126, 2024 | 13* | 2024 |
A survey on vulnerability of federated learning: A learning algorithm perspective X Xie, C Hu, H Ren, J Deng Neurocomputing, 127225, 2024 | 8 | 2024 |
A Real‐Time and Long‐Term Face Tracking Method Using Convolutional Neural Network and Optical Flow in IoT‐Based Multimedia Communication Systems H Ren, Y Hu, SH Myint, K Hou, X Zhang, M Zuo, C Zhang, Q Zhang, H Li Wireless Communications and Mobile Computing 2021 (1), 6711561, 2021 | 6 | 2021 |
Gradient leakage defense with key-lock module for federated learning H Ren, J Deng, X Xie, X Ma, J Ma arXiv preprint arXiv:2305.04095, 2023 | 2 | 2023 |
Deep Prediction Network Based on Covariance Intersection Fusion for Sensor Data H Ren, Y Wang, H Ma IECE Transactions on Intelligent Systematics 1 (1), 10-18, 2024 | 1 | 2024 |
Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation Y Li, H Ren, J Deng, X Ma, X Xie 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | | 2024 |
An Element-Wise Weights Aggregation Method for Federated Learning Y Hu, H Ren, C Hu, J Deng, X Xie 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 188-196, 2023 | | 2023 |
Predator-Prey Q-Learning Based Collaborative Coverage Path Planning for Swarm Robotics M Watson, H Ren, F Arvin, J Hu | | 1970 |
Gradients Stand-in for Defending Deep Leakage in Federated Learning F Hu, H Ren, C Hu, Y Li, J Deng, X Xie | | 1970 |