2024_10_10_optml

Three papers are accepted to Optimization for Machine Learning Workshop (NeurIPS 2024):

  • MindFlayer: Efficient Asynchronous Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times (Oral, Top 5%) [video]
  • Differentially Private Random Block Coordinate Descent
  • LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression