| A comprehensive survey on training acceleration for large machine learning models in IoT H Wang, Z Qu, Q Zhou, H Zhang, B Luo, W Xu, S Guo, R Li IEEE Internet of Things Journal 9 (2), 939-963, 2021 | 24 | 2021 |
| A privacy-preserving hybrid federated learning framework for financial crime detection H Zhang, J Hong, F Dong, S Drew, L Xue, J Zhou arXiv preprint arXiv:2302.03654, 2023 | 11 | 2023 |
| From deterioration to acceleration: A calibration approach to rehabilitating step asynchronism in federated optimization F Wu, S Guo, H Wang, H Zhang, Z Qu, J Zhang, Z Liu IEEE Transactions on Parallel and Distributed Systems 34 (5), 1548-1559, 2023 | 5 | 2023 |
| Safe and Robust Watermark Injection with a Single OoD Image S Yu, J Hong, H Zhang, H Wang, Z Wang, J Zhou International Conference on Learning Representations 2024, 2023 | 1 | 2023 |
| Understanding Deep Gradient Leakage via Inversion Influence Functions H Zhang, J Hong, Y Deng, M Mahdavi, J Zhou Advances in Neural Information Processing Systems 2023, 2023 | | 2023 |
