PhD student, Department of Computer Science, University of Illinois at Urbana-Champaign
2 papers at NeurIPS 2025
We provide sharp convergence analysis on sketched adaptive distributed deep learning that only depends on the intrinsic dimension of loss Hessian, instead of the full dimensionality..
