Cover Image

Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Taib, Musa, Wu, Jiajun, Drew, Steve, Messier, Geoffrey G.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Observation Time Window Segmentation for Administrative Data Machine Learning
by: Taib, Musa, et al.
Published: (2024)

Understanding Housing and Homelessness System Access by Linking Administrative Data
by: Messier, Geoffrey G., et al.
Published: (2025)

Towards Environmentally Equitable AI
by: Hajiesmaili, Mohammad, et al.
Published: (2024)

Equitable Evaluation via Elicitation
by: Du, Elbert, et al.
Published: (2026)

SPEAR: Soft Prompt Enhanced Anomaly Recognition for Time Series Data
by: Wei, Hanzhe, et al.
Published: (2025)

Transit for All: Mapping Equitable Bike2Subway Connection using Region Representation Learning
by: Namgung, Min, et al.
Published: (2025)

Towards Equitable Agile Research and Development of AI and Robotics
by: Hundt, Andrew, et al.
Published: (2024)

Interdisciplinary Expertise to Advance Equitable Explainable AI
by: Bennett, Chloe R., et al.
Published: (2024)

OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities
by: Tonwe, Mary
Published: (2025)

Toward Fair Federated Learning under Demographic Disparities and Data Imbalance
by: Wu, Qiming, et al.
Published: (2025)

Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned
by: Schweighofer, Kajetan, et al.
Published: (2025)

Equitable Federated Learning with Activation Clustering
by: Upadhyay, Antesh, et al.
Published: (2024)

Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing
by: Cui, Jiajun, et al.
Published: (2024)

Fairness in Federated Learning: Fairness for Whom?
by: Taik, Afaf, et al.
Published: (2025)

The Cost of Local and Global Fairness in Federated Learning
by: Duan, Yuying, et al.
Published: (2025)

Regulating AI Adaptation: An Analysis of AI Medical Device Updates
by: Wu, Kevin, et al.
Published: (2024)

HVAdam: A Full-Dimension Adaptive Optimizer
by: Zhang, Yiheng, et al.
Published: (2025)

Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem
by: Sun, Yuanyuan, et al.
Published: (2026)

A Post-Processing-Based Fair Federated Learning Framework
by: Zhou, Yi, et al.
Published: (2025)

Data Augmentation via Diffusion Model to Enhance AI Fairness
by: Blow, Christina Hastings, et al.
Published: (2024)

Towards AI Transparency and Accountability: A Global Framework for Exchanging Information on AI Systems
by: Buckley, Warren, et al.
Published: (2023)

Measuring What AI Systems Might Do: Towards A Measurement Science in AI
by: Voudouris, Konstantinos, et al.
Published: (2026)

GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration
by: Lewington, Aiden, et al.
Published: (2024)

Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings
by: Badran, Yahya, et al.
Published: (2025)

Culturally-Attuned Moral Machines: Implicit Learning of Human Value Systems by AI through Inverse Reinforcement Learning
by: Oliveira, Nigini, et al.
Published: (2023)

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
by: Chu, Yun-Wei, et al.
Published: (2022)

Enhancing Team Diversity with Generative AI: A Novel Project Management Framework
by: Chan, Johnny, et al.
Published: (2025)

AI Data Development: A Scorecard for the System Card Framework
by: Bahiru, Tadesse K., et al.
Published: (2025)

Federated Fairness without Access to Sensitive Groups
by: Papadaki, Afroditi, et al.
Published: (2024)

The Case for ESM3 as a General-Purpose AI Model with Systemic Risk Under the EU AI Act
by: Qureshi, Taro, et al.
Published: (2026)

FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
by: Li, Siqi, et al.
Published: (2024)

Explainable AI Systems Must Be Contestable: Here's How to Make It Happen
by: Moreira, Catarina, et al.
Published: (2025)

Enhancing Math Learning in an LMS Using AI-Driven Question Recommendations
by: Råmunddal, Justus
Published: (2025)

A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Heterogeneous and Imbalanced Clinical Data
by: Tertulino, Rodrigo
Published: (2025)

Revolutionising Distance Learning: A Comparative Study of Learning Progress with AI-Driven Tutoring
by: Möller, Moritz, et al.
Published: (2024)

AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab
by: Okpala, Ebuka, et al.
Published: (2024)

Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems
by: Gipiškis, Rokas, et al.
Published: (2024)

AI-powered Digital Framework for Personalized Economical Quality Learning at Scale
by: VatandoustMohammadieh, Mrzieh, et al.
Published: (2024)

Structural Rationale Distillation via Reasoning Space Compression
by: Yang, Jialin, et al.
Published: (2026)