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2020 – today
- 2024
[c5]Yue Huang, Zhaoxian Wu, Qing Ling:
On the Convergence of Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness. ICASSP 2024: 9581-9585- [i8]Zhaoxian Wu, Tayfun Gokmen, Malte J. Rasch, Tianyi Chen:
Towards Exact Gradient-based Training on Analog In-memory Computing. CoRR abs/2406.12774 (2024) - [i7]Ying Cao, Zhaoxian Wu, Kun Yuan, Ali H. Sayed:
On the Trade-off between Flatness and Optimization in Distributed Learning. CoRR abs/2406.20006 (2024) - [i6]Yue Huang, Zhaoxian Wu, Shiqian Ma, Qing Ling:
Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications. CoRR abs/2410.13743 (2024) - [i5]Zhaoxian Wu, Quan Xiao, Tayfun Gokmen, Hsinyu Tsai, Kaoutar El Maghraoui, Tianyi Chen:
Pipeline Gradient-based Model Training on Analog In-memory Accelerators. CoRR abs/2410.15155 (2024) - 2023
- [j5]Zhaoxian Wu
, Tianyi Chen, Qing Ling:
Byzantine-Resilient Decentralized Stochastic Optimization With Robust Aggregation Rules. IEEE Trans. Signal Process. 71: 3179-3195 (2023) - [c4]Xingrong Dong, Zhaoxian Wu, Qing Ling, Zhi Tian:
Distributed Online Learning With Adversarial Participants In An Adversarial Environment. ICASSP 2023: 1-5 - [i4]Xingrong Dong, Zhaoxian Wu, Qing Ling, Zhi Tian:
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment. CoRR abs/2307.07980 (2023) - 2022
- [j4]Jie Peng, Zhaoxian Wu, Qing Ling, Tianyi Chen:
Byzantine-robust variance-reduced federated learning over distributed non-i.i.d. data. Inf. Sci. 616: 367-391 (2022) - [j3]Weiyu Li, Zhaoxian Wu, Tianyi Chen, Liping Li, Qing Ling:
Communication-Censored Distributed Stochastic Gradient Descent. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6831-6843 (2022) - [c3]Kun Yuan, Zhaoxian Wu, Qing Ling:
A Byzantine-Resilient Dual Subgradient Method for Vertical Federated Learning. ICASSP 2022: 4273-4277 - [i3]Zhaoxian Wu, Tianyi Chen, Qing Ling:
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules. CoRR abs/2206.04568 (2022) - 2021
- [j2]Zhaoxian Wu, Han Shen, Tianyi Chen, Qing Ling:
Byzantine-Resilient Decentralized Policy Evaluation With Linear Function Approximation. IEEE Trans. Signal Process. 69: 3839-3853 (2021) - [c2]Zhaoxian Wu, Han Shen, Tianyi Chen, Qing Ling:
Byzantine-Resilient Decentralized TD Learning with Linear Function Approximation. ICASSP 2021: 5040-5044 - 2020
- [j1]Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis:
Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks. IEEE Trans. Signal Process. 68: 4583-4596 (2020) - [c1]Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis:
Resilient to Byzantine Attacks Finite-Sum Optimization Over Networks. ICASSP 2020: 5910-5914 - [i2]Jie Peng, Zhaoxian Wu, Qing Ling:
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data. CoRR abs/2009.08161 (2020)
2010 – 2019
- 2019
- [i1]Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis:
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks. CoRR abs/1912.12716 (2019)
Coauthor Index
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