ENBIS-25 Conference

Session

QSR-Informs Invited Session

17 Sept 2025, 11:30

Conference Hall (Ground floor)

Conveners

QSR-Informs Invited Session

• Mostafa Reisi Gahrooei (University of Florida)

123. Self expressive federated data analytics for networked systems

Mostafa Reisi Gahrooei (University of Florida)

17/09/2025, 11:30

We propose a novel federated learning framework on a network of clients with heterogeneous data. Unlike conventional federated learning, which creates a single aggregated model shared across all nodes, our approach develops a personalized aggregated model for each node using the information (and not the raw data) of neighboring nodes in the network. To do so, we leverage the topology of the...

18. Personalized Modeling of High-dimensional Data through Tensorized Multi-Task Learning

Elif Konyar (Georgia Institute of Technology)

17/09/2025, 12:00

QSR-Informs

In the realm of machine learning, effective modeling of heterogeneous subpopulations presents a significant challenge due to variations in individual characteristics and behaviors. This paper proposes a novel approach for addressing this issue through Multi-Task Learning (MTL) and low-rank decomposition techniques. Our MTL approach aims to enhance personalized modeling by leveraging shared...

128. Robust Diffusion Models for Anomaly Detection and Localization in High-Dimensional Data

Kamran Paynabar (School of Industrial and Systems Engineering)

17/09/2025, 12:30

Diffusion models have proven effective for generative modeling, denoising, and anomaly detection due to their ability to capture complex, high-dimensional, and non-linear data distributions. However, they typically require large amounts of non-anomalous training data, limiting their use when data is unlabeled and contains a mix of contaminated and uncontaminated samples. We propose a novel...