| Federated learning on non-IID data: A survey H Zhu, J Xu, S Liu, Y Jin Neurocomputing 465, 371-390, 2021 | 614 | 2021 |
| Multi-objective evolutionary federated learning H Zhu, Y Jin IEEE transactions on neural networks and learning systems 31 (4), 1310-1322, 2019 | 290 | 2019 |
| From federated learning to federated neural architecture search: a survey H Zhu, H Zhang, Y Jin Complex & Intelligent Systems 7 (2), 639-657, 2021 | 155 | 2021 |
| Real-time federated evolutionary neural architecture search H Zhu, Y Jin IEEE Transactions on Evolutionary Computation 26 (2), 364-378, 2021 | 75 | 2021 |
| Distributed additive encryption and quantization for privacy preserving federated deep learning H Zhu, R Wang, Y Jin, K Liang, J Ning Neurocomputing 463, 309-327, 2021 | 52 | 2021 |
| PIVODL: Privacy-preserving vertical federated learning over distributed labels H Zhu, R Wang, Y Jin, K Liang IEEE Transactions on Artificial Intelligence 4 (5), 988-1001, 2021 | 29 | 2021 |
| Feverless: Fast and secure vertical federated learning based on xgboost for decentralized labels R Wang, O Ersoy, H Zhu, Y Jin, K Liang IEEE Transactions on Big Data, 2022 | 14 | 2022 |
| Federated many-task Bayesian optimization H Zhu, X Wang, Y Jin IEEE transactions on evolutionary computation, 2023 | 12 | 2023 |
| Federated Learning Y Jin, H Zhu, J Xu, Y Chen Springer Nature Singapore, Singapore, 2023 | 10 | 2023 |
| Toward real-time federated evolutionary neural architecture search H Zhu, Y Jin Automated Design of Machine Learning and Search Algorithms, 133-147, 2021 | 3 | 2021 |
| Evolutionary multi-objective federated learning Y Jin, H Zhu, J Xu, Y Chen Federated Learning: Fundamentals and Advances, 139-164, 2022 | 2 | 2022 |
| Federated two-stage decoupling with adaptive personalization layers H Zhu, Y Fan, Z Xie Complex & Intelligent Systems, 1-15, 2024 | | 2024 |
| Communication Efficient Federated Learning Y Jin, H Zhu, J Xu, Y Chen Federated Learning: Fundamentals and Advances, 93-137, 2022 | | 2022 |
| Secure Federated Learning Y Jin, H Zhu, J Xu, Y Chen Federated Learning: Fundamentals and Advances, 165-212, 2022 | | 2022 |
| Communication Efficient and Secure Federated Learning H Zhu University of Surrey, 2021 | | 2021 |
