Imagen de Portada

Towards Personalized Quantum Federated Learning for Anomaly Detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rahman, Ratun, Shaham, Sina, Nguyen, Dinh C.
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Computer Vision and Pattern Recognition Quantum Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Tackling Heterogeneity in Quantum Federated Learning: An Integrated Sporadic-Personalized Approach
por: Rahman, Ratun, et al.
Publicado: (2026)

Brain Tumor Detection in MRI Based on Federated Learning with YOLOv11
por: Monisha, Sheikh Moonwara Anjum, et al.
Publicado: (2025)

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
por: Rahman, Ratun, et al.
Publicado: (2025)

SimQFL: A Quantum Federated Learning Simulator with Real-Time Visualization
por: Rahman, Ratun, et al.
Publicado: (2025)

Probabilistic Federated Learning on Uncertain and Heterogeneous Data with Model Personalization
por: Rahman, Ratun, et al.
Publicado: (2026)

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
por: Kölle, Michael, et al.
Publicado: (2023)

Auto Quantum Machine Learning for Multisource Classification
por: Rybotycki, Tomasz, et al.
Publicado: (2026)

RealStats: A Rigorous Real-Only Statistical Framework for Fake Image Detection
por: Zisman, Haim, et al.
Publicado: (2026)

Explainable Quantum Machine Learning for Multispectral Images Segmentation: Case Study
por: Rybotycki, Tomasz, et al.
Publicado: (2025)

Scaling Quantum Machine Learning without Tricks: High-Resolution and Diverse Image Generation
por: Jäger, Jonas, et al.
Publicado: (2026)

Quantum-enhanced satellite image classification
por: Zhang, Qi, et al.
Publicado: (2026)

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks
por: Werner, Yannick, et al.
Publicado: (2025)

Quantum machine learning for image classification
por: Senokosov, Arsenii, et al.
Publicado: (2023)

Incremental Data-Uploading for Full-Quantum Classification
por: Periyasamy, Maniraman, et al.
Publicado: (2022)

Image Classification with Rotation-Invariant Variational Quantum Circuits
por: Sebastian, Paul San, et al.
Publicado: (2024)

Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
por: Krahn, Maximilian, et al.
Publicado: (2023)

Layered Quantum Architecture Search for 3D Point Cloud Classification
por: Meli, Natacha Kuete, et al.
Publicado: (2026)

A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification
por: Wu, Sheng-Yao, et al.
Publicado: (2024)

Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints
por: Röseler, Peter, et al.
Publicado: (2025)

HQFNN: A Compact Quantum-Fuzzy Neural Network for Accurate Image Classification
por: Yao, Jianhong, et al.
Publicado: (2025)

VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors
por: Thomas, Aaron Mark, et al.
Publicado: (2024)

MediQ-GAN: Quantum-Inspired GAN for High Resolution Medical Image Generation
por: Jiao, Qingyue, et al.
Publicado: (2025)

Escaping Barren Plateaus in Variational Quantum Algorithms Using Negative Learning Rate in Quantum Internet of Things
por: Rahman, Ratun, et al.
Publicado: (2025)

Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning
por: Aqeel, Muhammad, et al.
Publicado: (2025)

CQ CNN: A Hybrid Classical Quantum Convolutional Neural Network for Alzheimer's Disease Detection Using Diffusion Generated and U Net Segmented 3D MRI
por: Islam, Mominul, et al.
Publicado: (2025)

Towards Heterogeneous Quantum Federated Learning: Challenges and Solutions
por: Rahman, Ratun, et al.
Publicado: (2025)

Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection
por: Rahman, Md Awsafur, et al.
Publicado: (2026)

Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach
por: Rahman, Ratun, et al.
Publicado: (2024)

Let the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical Components
por: Wang, Peiyong, et al.
Publicado: (2024)

Learning Shared Representations from Unpaired Data
por: Yacobi, Amitai, et al.
Publicado: (2025)

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study
por: Vhaduri, Sudip, et al.
Publicado: (2026)

Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers
por: Wang, Peiyong, et al.
Publicado: (2024)

Stochastic Entanglement Configuration for Constructive Entanglement Topologies in Quantum Machine Learning with Application to Cardiac MRI
por: Mehrnia, Mehri, et al.
Publicado: (2025)

Enhancing Vietnamese VQA through Curriculum Learning on Raw and Augmented Text Representations
por: Nguyen, Khoi Anh, et al.
Publicado: (2025)

Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification
por: Chan, Skylar, et al.
Publicado: (2024)

Enhancing VICReg: Random-Walk Pairing for Improved Generalization and Better Global Semantics Capturing
por: Simai, Idan, et al.
Publicado: (2025)

Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
por: Hermary, Romain, et al.
Publicado: (2025)

Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
por: Le, Khiem, et al.
Publicado: (2024)

Consensus-based Distributed Quantum Kernel Learning for Speech Recognition
por: Chen, Kuan-Cheng, et al.
Publicado: (2024)

Hybrid Quantum Neural Networks for Enhanced Breast Cancer Thermographic Classification: A Novel Quantum-Classical Integration Approach
por: Syah, Riza Alaudin, et al.
Publicado: (2026)