activity
20242026
most citedHybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC2026

Human-Centered Explainable AI for TinyML Edge Devices: A Pareto-Based Selection Framework with LLM-Guided Design

Zeinab Dehghani, Dhavalkumar Thakker, Koorosh Aslansefat +4

Edge Artificial Intelligence (Edge AI) enables the deployment of AI models directly on local edge devices, while such deployments are subject to strict resource constraints, partic…

cs.AI2026

ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable AI

Mohadeseh Mollapour, Koorosh Aslansefat, Zeinab Dehghani +3

Concept-based explainable artificial intelligence (AI) can make model reasoning more human-understandable, but concept-level outputs are not automatically trustworthy. We introduce…

cs.AI2026

Evaluating a Multi-Agent Voice-Enabled Smart Speaker for Care Homes: A Safety-Focused Framework

Zeinab Dehghani, Rameez Raja Kureshi, Koorosh Aslansefat +6

Artificial intelligence (AI) is increasingly being explored in health and social care to reduce administrative workload and allow staff to spend more time on patient care. This pap…

cs.AI2026

Addressing Explainability of Generative AI using SMILE (Statistical Model-agnostic Interpretability with Local Explanations)

Zeinab Dehghani

The rapid advancement of generative artificial intelligence has enabled models capable of producing complex textual and visual outputs; however, their decision-making processes rem…

cs.LG20251 cited

HybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification

Mostafa Anoosha, Zeinab Dehghani, Kuniko Paxton +2

Vertical Federated Learning (VFL) offers a privacy-preserving paradigm for Edge AI scenarios like mobile health diagnostics, where sensitive multimodal data reside on distributed,…

cs.CV2025

Mitigating Individual Skin Tone Bias in Skin Lesion Classification through Distribution-Aware Reweighting

Kuniko Paxton, Zeinab Dehghani, Koorosh Aslansefat +2

Skin color has historically been a focal point of discrimination, yet fairness research in machine learning for medical imaging often relies on coarse subgroup categories, overlook…