Federated learning with differential privacy: Algorithms and performance analysis K Wei, J Li, M Ding, C Ma, HH Yang, F Farokhi, S Jin, TQS Quek, HV Poor IEEE transactions on information forensics and security 15, 3454-3469, 2020 | 1879 | 2020 |
User-level privacy-preserving federated learning: Analysis and performance optimization K Wei, J Li, M Ding, C Ma, H Su, B Zhang, HV Poor IEEE Transactions on Mobile Computing 21 (9), 3388 - 3401, 2022 | 230 | 2022 |
Blockchain assisted decentralized federated learning (BLADE-FL): Performance analysis and resource allocation J Li, Y Shao, K Wei, M Ding, C Ma, L Shi, Z Han, HV Poor IEEE Transactions on Parallel and Distributed Systems 33 (10), 2401-2415, 2022 | 185 | 2022 |
Vertical federated learning: Challenges, methodologies and experiments K Wei, J Li, C Ma, M Ding, S Wei, F Wu, G Chen, T Ranbaduge arXiv preprint arXiv:2202.04309, 2022 | 106 | 2022 |
Low-latency federated learning over wireless channels with differential privacy K Wei, J Li, C Ma, M Ding, C Chen, S Jin, Z Han, HV Poor IEEE Journal on Selected Areas in Communications 40 (1), 290-307, 2022 | 83 | 2022 |
Personalized federated learning with differential privacy and convergence guarantee K Wei, J Li, C Ma, M Ding, W Chen, J Wu, M Tao, HV Poor IEEE Transactions on Information Forensics and Security, 2023 | 63 | 2023 |
Trusted ai in multiagent systems: An overview of privacy and security for distributed learning C Ma, J Li, K Wei*, B Liu, M Ding, L Yuan, Z Han, HV Poor Proceedings of the IEEE 111 (9), 1097-1132, 2023 | 53 | 2023 |
Make Landscape Flatter in Differentially Private Federated Learning Y Shi, Y Liu, K Wei, L Shen, X Wang, D Tao IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 53 | 2023 |
Improving the Model Consistency of Decentralized Federated Learning Y Shi, L Shen, K Wei, Y Sun, B Yuan, X Wang, D Tao The Fortieth International Conference on Machine Learning (ICML), 2023 | 45 | 2023 |
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning X Yuan, W Ni, M Ding, K Wei*, J Li, HV Poor IEEE Transactions on Information Forensics and Security, 2023 | 35 | 2023 |
Federated learning with unreliable clients: Performance analysis and mechanism design C Ma, J Li, M Ding, K Wei, W Chen, HV Poor IEEE Internet of Things Journal 8 (24), 17308-17319, 2021 | 34 | 2021 |
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks X Deng, J Li, C Ma, K Wei, L Shi, M Ding, W Chen IEEE Journal on Selected Areas in Communications, 2023 | 30 | 2023 |
Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling X Deng, J Li, C Ma, K Wei, L Shi, M Ding, W Chen, HV Poor IEEE Transactions on Wireless Communications, 2022 | 30 | 2022 |
RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network C Ma, J Li, M Ding, B Liu, K Wei*, J Weng, HV Poor IEEE Transactions on Dependable and Secure Computing, 2023 | 29 | 2023 |
DNN‐aided read‐voltage threshold optimization for MLC flash memory with finite block length C Wang, K Wei, L Kong, L Shi, Z Mei, J Li, K Cai IET Communications 16 (2), 120-130, 2022 | 11 | 2022 |
Covert model poisoning against federated learning: Algorithm design and optimization K Wei, J Li, M Ding, C Ma, YS Jeon, HV Poor IEEE Transactions on Dependable and Secure Computing, 2023 | 9 | 2023 |
Page-based dynamic partitioning scheduling for LDPC decoding in MLC NAND flash memory K Wei, J Li, L Kong, F Shu, FCM Lau IEEE transactions on circuits and systems II: express briefs 66 (12), 2082-2086, 2019 | 8 | 2019 |
Differentially Private Federated Learning: Algorithm, Analysis and Optimization K Wei, J Li, C Ma, M Ding, HV Poor Federated Learning Systems, Springer Nature, 51-78, 2021 | 7 | 2021 |
Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients J Li, Y Shao, M Ding, C Ma, K Wei, Z Han, HV Poor Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS …, 2020 | 7 | 2020 |
Dual Expert Distillation Network for Generalized Zero-Shot Learning Z Rao, J Guo, X Lu, J Liang, J Zhang, H Wang, K Wei, X Cao IJCAI, 2024 | 5* | 2024 |