12 citations · 16 across the 7 of their papers we have counts for
7 papers
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…
Design of Induction Machines using Reinforcement Learning
Yasmin SarcheshmehPour, Tommi Ryyppo, Victor Mukherjee +1
The design of induction machine is a challenging task due to different electromagnetic and thermal constraints. Quick estimation of machine's dimensions is important in the sales t…
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…
flow-based clustering and spectral clustering: a comparison
Y. SarcheshmehPour, Y. Tian, L. Zhang +1
We propose and study a novel graph clustering method for data with an intrinsic network structure. Similar to spectral clustering, we exploit an intrinsic network structure of data…
Clustered Federated Learning via Generalized Total Variation Minimization
Yasmin SarcheshmehPour, Yu Tian, Linli Zhang +1
We study optimization methods to train local (or personalized) models for decentralized collections of local datasets with an intrinsic network structure. This network structure ar…
Federated Learning From Big Data Over Networks
Y. Sarcheshmehpour, M. Leinonen, A. Jung
This paper formulates and studies a novel algorithm for federated learning from large collections of local datasets. This algorithm capitalizes on an intrinsic network structure th…
Local Graph Clustering with Network Lasso
Alexander Jung, Yasmin SarcheshmehPour
We study the statistical and computational properties of a network Lasso method for local graph clustering. The clusters delivered by nLasso can be characterized elegantly via netw…