Image de couverture de livre

A Comparative Study of Sampling Methods with Cross-Validation in the FedHome Framework

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ahmadi, Arash, Sharif, Sarah S., Banad, Yaser M.
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Improving Aviation Safety Analysis: Automated HFACS Classification Using Reinforcement Learning with Group Relative Policy Optimization
par: Ahmadi, Arash, et autres
Publié: (2025)

A Cloud-Edge Framework for Energy-Efficient Event-Driven Control: An Integration of Online Supervised Learning, Spiking Neural Networks and Local Plasticity Rules
par: Ahmadvand, Reza, et autres
Publié: (2024)

MCP Bridge: A Lightweight, LLM-Agnostic RESTful Proxy for Model Context Protocol Servers
par: Ahmadi, Arash, et autres
Publié: (2025)

Enhanced LLM Reasoning by Optimizing Reward Functions with Search-Driven Reinforcement Learning
par: Ahmadi, Arash, et autres
Publié: (2026)

Automating Leukemia Diagnosis with Autoencoders: A Comparative Study
par: Sayyadpour, Minoo, et autres
Publié: (2023)

FairGridSearch: A Framework to Compare Fairness-Enhancing Models
par: Ma, Shih-Chi, et autres
Publié: (2024)

Diagnosing Hallucination Risk in AI Surgical Decision-Support: A Sequential Framework for Sequential Validation
par: Chen, Dong, et autres
Publié: (2025)

Ultra-Low-Power Spiking Neurons in 7 nm FinFET Technology: A Comparative Analysis of Leaky Integrate-and-Fire, Morris-Lecar, and Axon-Hillock Architectures
par: Larsh, Logan, et autres
Publié: (2025)

Revolutionising Distance Learning: A Comparative Study of Learning Progress with AI-Driven Tutoring
par: Möller, Moritz, et autres
Publié: (2024)

A Comparative Simulation Study of the Fairness and Accuracy of Predictive Policing Systems in Baltimore City
par: Semsar, Samin, et autres
Publié: (2026)

On the Cause of Unfairness: A Training Sample Perspective
par: Yao, Yuanshun, et autres
Publié: (2023)

Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives
par: Asiedu, Mercy Nyamewaa, et autres
Publié: (2024)

Rethinking Suicidal Ideation Detection: A Trustworthy Annotation Framework and Cross-Lingual Model Evaluation
par: Dzafic, Amina, et autres
Publié: (2025)

A Regulatory Governance Framework for AI-Driven Financial Fraud Detection in U.S. Banking: Integrating OCC, SR 11-7, CFPB, and FinCEN Compliance Requirements for Model Development, Validation, and Monitoring Lifecycles
par: Uddin, Mohammad Nasir
Publié: (2026)

Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments
par: Checker, Saksham, et autres
Publié: (2024)

Forecasting Energy Consumption using Recurrent Neural Networks: A Comparative Analysis
par: Maity, Abhishek, et autres
Publié: (2026)

Virtual Urbanism: An AI-Driven Framework for Quantifying Urban Identity. A Tokyo-Based Pilot Study Using Diffusion-Generated Synthetic Environments
par: Maria, Glinskaya
Publié: (2026)

Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses
par: Baral, Sami, et autres
Publié: (2024)

A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs
par: Trask, Thomas, et autres
Publié: (2024)

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

DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing
par: Sun, Xinjie, et autres
Publié: (2025)

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
par: Han, Xiaotian, et autres
Publié: (2023)

Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
par: Ganesh, Prakhar, et autres
Publié: (2024)

Explainable AI for Predicting and Understanding Mathematics Achievement: A Cross-National Analysis of PISA 2018
par: Liu, Liu, et autres
Publié: (2025)

A Unifying Human-Centered AI Fairness Framework
par: Rahman, Munshi Mahbubur, et autres
Publié: (2025)

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently
par: Cong, Zicun, et autres
Publié: (2024)

A Multi-Plant Machine Learning Framework for Emission Prediction, Forecasting, and Control in Cement Manufacturing
par: Fayaz, Sheikh Junaid, et autres
Publié: (2026)

AI Data Development: A Scorecard for the System Card Framework
par: Bahiru, Tadesse K., et autres
Publié: (2025)

A Post-Processing-Based Fair Federated Learning Framework
par: Zhou, Yi, et autres
Publié: (2025)

Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support
par: Mahajan, Anubha, et autres
Publié: (2024)

Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
par: Gohar, Usman, et autres
Publié: (2024)

Deprecating Benchmarks: Criteria and Framework
par: Joaquin, Ayrton San, et autres
Publié: (2025)

Faster Results from a Smarter Schedule: Reframing Collegiate Cross Country through Analysis of the National Running Club Database
par: Karr Jr, Jonathan A., et autres
Publié: (2025)

FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
par: Li, Zhonghang, et autres
Publié: (2024)

Enhancing Team Diversity with Generative AI: A Novel Project Management Framework
par: Chan, Johnny, et autres
Publié: (2025)

Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem
par: Sun, Yuanyuan, et autres
Publié: (2026)

Time Series Analysis for Education: Methods, Applications, and Future Directions
par: Mao, Shengzhong, et autres
Publié: (2024)

A Nested Model for AI Design and Validation
par: Dubey, Akshat, et autres
Publié: (2024)

FedFair^3: Unlocking Threefold Fairness in Federated Learning
par: Javaherian, Simin, et autres
Publié: (2024)

EigenBench: A Comparative Behavioral Measure of Value Alignment
par: Chang, Jonathn, et autres
Publié: (2025)