1 citations · 1 across the 4 of their papers we have counts for
4 papers
Federated Soft Clustering via Generalized Total Variation Minimization
Shamsiiat Abdurakhmanova, Alexander Jung
We study federated soft clustering over federated learning (FL) networks of devices that each hold a private local dataset and fit a personalized Gaussian mixture model (GMM). Gene…
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…
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…
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…