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