3 papers
cs.LG2025
Graph-Regularized Learning of Gaussian Mixture Models
Shamsiiat Abdurakhmanova, Alex Jung
We present a graph-regularized learning of Gaussian Mixture Models (GMMs) in distributed settings with heterogeneous and limited local data. The method exploits a provided similari…
cs.LG2025
Plug In and Learn: Federated Intelligence over a Smart Grid of Models
S. Abdurakhmanova, Y. SarcheshmehPour, A. Jung
We present a model-agnostic federated learning method that mirrors the operation of a smart power grid: diverse local models, like energy prosumers, train independently on their ow…
cs.LG2025
Your Data, My Model: Learning Who Really Helps in Federated Learning
Shamsiiat Abdurakhmanova, Amirhossein Mohammadi, Yasmin SarcheshmehPour +1
Many important machine learning applications involve networks of devices-such as wearables or smartphones-that generate local data and train personalized models. A key challenge is…