publications

2024

1. Provably fast convergence of independent natural policy gradient for markov potential games

   Youbang Sun, Tao Liu, Ruida Zhou, and 2 more authors

   Advances in Neural Information Processing Systems, 2024
2. Improving LoRA in Privacy-preserving Federated Learning

   Youbang Sun, Zitao Li, Yaliang Li, and 1 more author

   arXiv preprint arXiv:2403.12313, 2024
3. Global Convergence of Decentralized Retraction-Free Optimization on the Stiefel Manifold

   Youbang Sun, Shixiang Chen, Alfredo Garcia, and 1 more author

   arXiv preprint arXiv:2405.11590, 2024
4. Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization

   Youbang Sun, Tao Liu, PR Kumar, and 1 more author

   arXiv preprint arXiv:2405.02769, 2024

2023

1. On the stability analysis of open federated learning systems

   Youbang Sun, Heshan Fernando, Tianyi Chen, and 1 more author

   In 2023 American Control Conference (ACC), 2023

2022

1. On centralized and distributed mirror descent: Convergence analysis using quadratic constraints

   Youbang Sun, Mahyar Fazlyab, and Shahin Shahrampour

   IEEE Transactions on Automatic Control, 2022

2021

1. Linear convergence of distributed mirror descent with integral feedback for strongly convex problems

   Youbang Sun, and Shahin Shahrampour

   In 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2. Distributed Mirror Descent with Integral Feedback: Convergence Analysis from a Dynamical System Perspective

   Youbang Sun, and Shahin Shahrampour

   In 2021 55th Annual Conference on Information Sciences and Systems (CISS), 2021

2020

1. Distributed mirror descent with integral feedback: Asymptotic convergence analysis of continuous-time dynamics

   Youbang Sun, and Shahin Shahrampour

   IEEE Control Systems Letters, 2020

2018

1. Can I trust you more? Model-agnostic hierarchical explanations

   Michael Tsang, Youbang Sun, Dongxu Ren, and 1 more author

   arXiv preprint arXiv:1812.04801, 2018