Youbang Sun

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Dana Research Center, 238

Northeastern University, 100 Forsyth St

Boston, MA, 02115

I am currently a fifth-year Ph.D. student in the Department of Mechanical & Industrial Engineering at Northeastern University (2021-now). My reseach interest includes theory and application of distributed optimization, such as the system dynamics of mirror descent / Riemannina gradient descent algorithms in distributed systems, federated learning and multi-agent reinforcement learning. I am advised by Prof. Shahin Shahrampour.

I was previously a Ph.D. student in the Department of Industrial Engineering at Texas A&M University (2019-2021). Prior to that, I obtained my B.S. degree in Electrial Engineering from University of Science and Technology of China (2015-2019).

selected publications

  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
  2. 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
  3. Improving LoRA in Privacy-preserving Federated Learning
    Youbang Sun, Zitao Li, Yaliang Li, and 1 more author
    arXiv preprint arXiv:2403.12313, 2024