2 papers
stat.ML2026
Fast convergence of a Federated Expectation-Maximization Algorithm
Zhixu Tao, Rajita Chandak, Sanjeev Kulkarni
Data heterogeneity has been a long-standing bottleneck in studying the convergence rates of Federated Learning algorithms. In order to better understand the issue of data heterogen…
cs.LG2025
Task Arithmetic Through The Lens Of One-Shot Federated Learning
Zhixu Silvia Tao, Ian Mason, Sanjeev Kulkarni +1
Task Arithmetic is a model merging technique that enables the combination of multiple models' capabilities into a single model through simple arithmetic in the weight space, withou…