4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2022
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…
cs.LG2021
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…
cs.LG2020★ 4 cited
Explainable Empirical Risk Minimization
L. Zhang, G. Karakasidis, A. Odnoblyudova +2
The successful application of machine learning (ML) methods becomes increasingly dependent on their interpretability or explainability. Designing explainable ML systems is instrume…