| Asymmetrically Vertical Federated Learning Y Liu, X Zhang, L Wang arXiv preprint arXiv:2004.07427, 2020 | 60 | 2020 |
| An Arrow–Hurwicz–Uzawa type flow as least squares solver for network linear equations Y Liu, C Lageman, BDO Anderson, G Shi Automatica 100, 187-193, 2019 | 50 | 2019 |
| Network flows that solve least squares for linear equations Y Liu, Y Lou, BDO Anderson, G Shi Automatica 120, 109108, 2020 | 29 | 2020 |
| Fedxgboost: Privacy-preserving xgboost for federated learning NK Le, Y Liu, QM Nguyen, Q Liu, F Liu, Q Cai, S Hirche arXiv preprint arXiv:2106.10662, 2021 | 24 | 2021 |
| Gossip algorithms that preserve privacy for distributed computation part I: The algorithms and convergence conditions Y Liu, J Wu, IR Manchester, G Shi 2018 IEEE Conference on Decision and Control (CDC), 4499-4504, 2018 | 14 | 2018 |
| Clique gossiping Y Liu, B Li, BDO Anderson, G Shi IEEE/ACM Transactions on Networking 27 (6), 2418-2431, 2019 | 13 | 2019 |
| Gossip algorithms that preserve privacy for distributed computation Part II: Performance against eavesdroppers Y Liu, J Wu, IR Manchester, G Shi 2018 IEEE Conference on Decision and Control (CDC), 5346-5351, 2018 | 11 | 2018 |
| Privacy-preserving distributed iterative localization for wireless sensor networks L Shi, WX Zheng, Q Liu, Y Liu, J Shao IEEE Transactions on Industrial Electronics 70 (11), 11628-11638, 2022 | 10 | 2022 |
| Network Flows as Least Squares Solvers for Linear Equations Y Liu, Y Lou, B Anderson, G Shi IEEE Conference on Decision and Control, 1046-1051, 2017 | 10 | 2017 |
| Exponential least squares solvers for linear equations over networks Y Liu, C Lageman, BDO Anderson, G Shi IFAC-PapersOnLine 50 (1), 2543-2548, 2017 | 10 | 2017 |
| Dynamical Privacy in Distributed Computing -- Part II: PPSC Gossip Algorithms Y Liu, J Wu, I Manchester, G Shi arXiv preprint arXiv:1808.00120, 2018 | 6* | 2018 |
| Distributedly solving network linear equations with event‐based algorithms Q Liu, Y Liu, D Yuan, J Qin IET Control Theory & Applications 13 (17), 2738-2746, 2019 | 5 | 2019 |
| Differentially private distributed computation via public-private communication networks L Wang, Y Liu, I Manchester, G Shi arXiv preprint arXiv:2101.01376, 2021 | 3 | 2021 |
| Dynamical Privacy in Distributed Computing -- Part I: Privacy Loss and PPSC Mechanism Y Liu, J Wu, I Manchester, G Shi arXiv preprint arXiv:1902.06966, 2019 | 3 | 2019 |
| A Split-and-Privatize Framework for Large Language Model Fine-Tuning X Shen, Y Liu, H Liu, J Hong, B Duan, Z Huang, Y Mao, Y Wu, D Wu arXiv preprint arXiv:2312.15603, 2023 | 2 | 2023 |
| Differentially Private Linear Regression over Fully Decentralized Datasets Y Liu, X Zhang, S Qin, X Lei arXiv preprint arXiv:2004.07425, 2020 | 2 | 2020 |
| Distributed Privacy-Preserving Iterative Summation Protocols Y Liu, Q Liu, X Zhang, S Qin, X Lei IEEE Intelligent Systems 35 (4), 25-36, 2020 | | 2020 |
| Acceleration and Privacy Protection for Distributed Computing Y Liu PQDT-Global, 2019 | | 2019 |
Guodong ShiThe University of Sydney/Australian National University在 kth.se 的电子邮件经过验证
