Linglingzhi Zhu

According to our database, Linglingzhi Zhu authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Shuffling Gradient Descent-Ascent with Variance Reduction for Nonconvex-Strongly Concave Smooth Minimax Problems.

Xia Jiang, Linglingzhi Zhu, Anthony Man-Cho So, Shisheng Cui, Jian Sun

CoRR, 2024

Differentially Private Online Federated Learning with Correlated Noise.

Jiaojiao Zhang, Linglingzhi Zhu, Mikael Johansson

CoRR, 2024

2023

Riemannian linearized proximal algorithms for nonnegative inverse eigenvalue problem.

Sangho Kum, Chong Li, Jinhua Wang, Jen-Chih Yao, Linglingzhi Zhu

Numer. Algorithms, December, 2023

Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization.

Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, Jose H. Blanchet, Jiajin Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees.

Shangyuan Liu, Linglingzhi Zhu, Anthony Man-Cho So

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Nonsmooth Composite Nonconvex-Concave Minimax Optimization.

Jiajin Li, Linglingzhi Zhu, Anthony Man-Cho So

CoRR, 2022