From the 1 of 4 linked papers with an AI index.
4 papers
What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity
Kumar Kshitij Patel, Rustem Islamov, Sebastian U Stich +3
The paper establishes tighter convergence rates for Local SGD (Federated Averaging) on general convex problems under a bounded second‑order heterogeneity assumption, and provides n…
Distributionally Robust Linear Regression With Block Lewis Weights
Naren Sarayu Manoj, Kumar Kshitij Patel
We present an algorithm for the group distributionally robust (GDR) least squares problem. Given groups, a parameter vector in , and stacked design matrices and r…
What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness
Kumar Kshitij Patel
This thesis contributes to the theoretical understanding of local update algorithms, especially Local SGD, in distributed and federated optimization under realistic models of data…
Personalized Federated Training of Diffusion Models with Privacy Guarantees
Kumar Kshitij Patel, Weitong Zhang, Lingxiao Wang
The scarcity of accessible, compliant, and ethically sourced data presents a considerable challenge to the adoption of artificial intelligence (AI) in sensitive fields like healthc…