3 papers
stat.ML2026
Collaborative Compressors in Distributed Mean Estimation with Limited Communication Budget
Harsh Vardhan, Arya Mazumdar
Distributed high dimensional mean estimation is a common aggregation routine used often in distributed optimization methods. Most of these applications call for a communication-con…
stat.ML2025
LocalKMeans: Convergence of Lloyd's Algorithm with Distributed Local Iterations
Harsh Vardhan, Heng Zhu, Avishek Ghosh +1
In this paper, we analyze the classical -means alternating-minimization algorithm, also known as Lloyd's algorithm (Lloyd, 1956), for a mixture of Gaussians in a data-distribute…
stat.ML2025
Learning and Generalization with Mixture Data
Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
In many, if not most, machine learning applications the training data is naturally heterogeneous (e.g. federated learning, adversarial attacks and domain adaptation in neural net t…