| Federated variance-reduced stochastic gradient descent with robustness to byzantine attacks Z Wu, Q Ling, T Chen, GB Giannakis IEEE Transactions on Signal Processing 68, 4583-4596, 2020 | 230 | 2020 |
| Byzantine-resilient decentralized stochastic optimization with robust aggregation rules Z Wu, T Chen, Q Ling IEEE transactions on signal processing 71, 3179-3195, 2023 | 41 | 2023 |
| Byzantine-resilient decentralized policy evaluation with linear function approximation Z Wu, H Shen, T Chen, Q Ling IEEE Transactions on Signal Processing 69, 3839-3853, 2021 | 29 | 2021 |
| Byzantine-robust variance-reduced federated learning over distributed non-iid data J Peng, Z Wu, Q Ling, T Chen Information Sciences 616, 367-391, 2022 | 26 | 2022 |
| Communication-censored distributed stochastic gradient descent W Li, Z Wu, T Chen, L Li, Q Ling IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6831-6843, 2021 | 18 | 2021 |
| Byzantine-robust distributed online learning: Taming adversarial participants in an adversarial environment X Dong, Z Wu, Q Ling, Z Tian IEEE Transactions on Signal Processing 72, 235-248, 2023 | 14 | 2023 |
| A Byzantine-resilient dual subgradient method for vertical federated learning K Yuan, Z Wu, Q Ling ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| Distributed online learning with adversarial participants in an adversarial environment X Dong, Z Wu, Q Ling, Z Tian ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| On the Convergence of Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness Y Huang, Z Wu, Q Ling ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Communication-Censored Distributed Stochastic Gradient Descent W Li, T Chen, L Li, Z Wu, Q Ling arXiv preprint arXiv:1909.03631, 2019 | 1 | 2019 |
| Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions Z Wu, Q Xiao, T Gokmen, O Fagbohungbe, T Chen arXiv preprint arXiv:2502.06309, 2025 | | 2025 |
| Pipeline Gradient-based Model Training on Analog In-memory Accelerators Z Wu, Q Xiao, T Gokmen, H Tsai, KE Maghraoui, T Chen arXiv preprint arXiv:2410.15155, 2024 | | 2024 |
| Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications Y Huang, Z Wu, S Ma, Q Ling arXiv preprint arXiv:2410.13743, 2024 | | 2024 |
| On the Trade-off between Flatness and Optimization in Distributed Learning Y Cao, Z Wu, K Yuan, AH Sayed arXiv preprint arXiv:2406.20006, 2024 | | 2024 |
| Towards Exact Gradient-based Training on Analog In-memory Computing Z Wu, T Gokmen, MJ Rasch, T Chen arXiv preprint arXiv:2406.12774, 2024 | | 2024 |
| Resilient to Byzantine Attacks Finite-Sum Optimization Over Networks Z Wu, Q Ling, T Chen, GB Giannakis ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | | 2020 |
Qing LingSchool of Computer Science and Engineering, Sun Yat-Sen UniversityAdresă de e-mail confirmată pe mail.sysu.edu.cn
