publications

2022

  1. Polar Deconvolution of Mixed Signals
    Fan, Zhenan, Jeong, Halyun, Joshi, Babhru, and Friedlander, Michael P
    To appear in IEEE Transactions on Signal Processing 2022
  2. Improving Fairness for Data Valuation in Horizontal Federated Learning
    Fan, Zhenan, Fang, Huang, Zhou, Zirui, Pei, Jian, Friedlander, Michael P, Liu, Changxin, and Zhang, Yong
    In International Conference on Data Engineering (ICDE) 2022
  3. Fair and efficient contribution valuation for vertical federated learning
    Fan, Zhenan, Fang, Huang, Zhou, Zirui, Pei, Jian, Friedlander, Michael P, and Zhang, Yong
    Submitted 2022
  4. A dual approach for federated learning
    Fan, Zhenan, Fang, Huang, and Friedlander, Michael P
    Submitted 2022

2021

  1. Safe-screening rules for atomic-norm regularization
    Fan, Zhenan, Fang, Huang, and Friedlander, Michael P
    Submitted to Open Journal of Mathematical Optimization 2021

2020

  1. Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization
    Fang, Huang, Fan, Zhenan, Sun, Yifan, and Friedlander, Michael
    In International Conference on Artificial Intelligence and Statistics (AISTATS) 2020
  2. Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization
    Fan, Zhenan, Jeong, Halyun, Sun, Yifan, and Friedlander, Michael P.
    Foundations and Trends in Optimization 2020
  3. Fast convergence of stochastic subgradient method under interpolation
    Fang, Huang, Fan, Zhenan, and Friedlander, Michael
    In International Conference on Learning Representations (ICLR) 2020

2019

  1. Bundle methods for dual atomic pursuit
    Fan, Zhenan, Sun, Yifan, and Friedlander, Michael P
    In 53rd Asilomar Conference on Signals, Systems, and Computers (ACSSC) 2019