5 citations · 5 across the 3 of their papers we have counts for
3 papers
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…
stat.ML2022★ 5 cited
An Improved Algorithm for Clustered Federated Learning
Harshvardhan, Avishek Ghosh, Arya Mazumdar
In this paper, we address the dichotomy between heterogeneous models and simultaneous training in Federated Learning (FL) via a clustering framework. We define a new clustering mod…