An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization
- Lunchen Xie
- Jiaqi Liu
- et al.
- 2022
- ACM TIST
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74 results for Songtao Lu
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization
- Yunfei Teng
- Anna Choromanska
- et al.
- 2022
- ECML PKDD 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
- Gaoyuan Zhang
- Songtao Lu
- et al.
- 2022
- UAI 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
- Pu Zhao
- Parikshit Ram
- et al.
- 2022
- IJCAI 2022
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
- Songtao Lu
- 2022
- ICML 2022
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning
- Chia-Yi Hsu
- Pin-Yu Chen
- et al.
- 2022
- AAAI 2022
Zeroth-Order Optimization for Composite Problems with Functional Constraints
- Zichong Li
- Pin-Yu Chen
- et al.
- 2022
- AAAI 2022
Optimal Discrete Constellation Inputs for Aggregated LiFi-WiFi Networks
- Shuai Ma
- Fan Zhang
- et al.
- 2022
- IEEE TWC
Decentralized Bilevel Optimization for Personalized Client Learning
- Songtao Lu
- Xiaodong Cui
- et al.
- 2022
- ICASSP 2022
Understanding latent correlation-based multiview learning and self-supervision: An identifiability perspective
- Qi Lyu
- Xiao Fu
- et al.
- 2022
- ICLR 2022