Privacy-Preserving Generation Fraud Detection for Distributed Photovoltaic Systems: A Solar Irradiance-Fused Federated Learning Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Xiaolu, Huang, Chenghao, Zhang, Yanru, Wang, Hao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE
by: Roth, Holger R., et al.
Published: (2026)
by: Roth, Holger R., et al.
Published: (2026)
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
by: Chen, Xiaolu, et al.
Published: (2025)
by: Chen, Xiaolu, et al.
Published: (2025)
Fed-RD: Privacy-Preserving Federated Learning for Financial Crime Detection
by: Khan, Md. Saikat Islam, et al.
Published: (2024)
by: Khan, Md. Saikat Islam, et al.
Published: (2024)
FD4QC: Application of Classical and Quantum-Hybrid Machine Learning for Financial Fraud Detection A Technical Report
by: Cardaioli, Matteo, et al.
Published: (2025)
by: Cardaioli, Matteo, et al.
Published: (2025)
Distributed Monitoring for Data Distribution Shifts in Edge-ML Fraud Detection
by: Karayanni, Nader, et al.
Published: (2024)
by: Karayanni, Nader, et al.
Published: (2024)
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
by: Zhu, Mengran, et al.
Published: (2024)
by: Zhu, Mengran, et al.
Published: (2024)
Physics-Informed Learning of Flow Distribution and Receiver Heat Losses in Parabolic Trough Solar Fields
by: Matthes, Stefan, et al.
Published: (2025)
by: Matthes, Stefan, et al.
Published: (2025)
Federated Learning with Gramian Angular Fields for Privacy-Preserving ECG Classification on Heterogeneous IoT Devices
by: Elmir, Youssef, et al.
Published: (2025)
by: Elmir, Youssef, et al.
Published: (2025)
GPT-Guided Monte Carlo Tree Search for Symbolic Regression in Financial Fraud Detection
by: Kadam, Prashank
Published: (2024)
by: Kadam, Prashank
Published: (2024)
AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective
by: Luo, Bingqiao, et al.
Published: (2023)
by: Luo, Bingqiao, et al.
Published: (2023)
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars
by: He, Peilin, et al.
Published: (2024)
by: He, Peilin, et al.
Published: (2024)
A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
by: Cheng, Yu, et al.
Published: (2025)
by: Cheng, Yu, et al.
Published: (2025)
Analogical Learning for Cross-Scenario Generalization: Framework and Application to Intelligent Localization
by: Chen, Zirui, et al.
Published: (2025)
by: Chen, Zirui, et al.
Published: (2025)
Transformer-Based Financial Fraud Detection with Cloud-Optimized Real-Time Streaming
by: Deng, Tingting, et al.
Published: (2025)
by: Deng, Tingting, et al.
Published: (2025)
Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection
by: Lin, Cooper, et al.
Published: (2026)
by: Lin, Cooper, et al.
Published: (2026)
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
by: Hu, Xiuyuan, et al.
Published: (2025)
by: Hu, Xiuyuan, et al.
Published: (2025)
A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection
by: Sawaika, Abhishek, et al.
Published: (2025)
by: Sawaika, Abhishek, et al.
Published: (2025)
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation
by: Kadam, Prashank
Published: (2024)
by: Kadam, Prashank
Published: (2024)
Tracing Your Account: A Gradient-Aware Dynamic Window Graph Framework for Ethereum under Privacy-Preserving Services
by: Shuyi, Miao, et al.
Published: (2026)
by: Shuyi, Miao, et al.
Published: (2026)
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection
by: Amekoe, Kodjo Mawuena, et al.
Published: (2024)
by: Amekoe, Kodjo Mawuena, et al.
Published: (2024)
Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications?
by: Chen, Rex, et al.
Published: (2023)
by: Chen, Rex, et al.
Published: (2023)
Structure-Preserving Operator Learning
by: Bouziani, Nacime, et al.
Published: (2024)
by: Bouziani, Nacime, et al.
Published: (2024)
A Machine Learning Approach to Generate Residual Stress Distributions using Sparse Characterization Data in Friction-Stir Processed Parts
by: Shaikh, Shadab Anwar, et al.
Published: (2025)
by: Shaikh, Shadab Anwar, et al.
Published: (2025)
polyGen: A Learning Framework for Atomic-level Polymer Structure Generation
by: Jain, Ayush, et al.
Published: (2025)
by: Jain, Ayush, et al.
Published: (2025)
FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning
by: Liu, Jiayu, et al.
Published: (2024)
by: Liu, Jiayu, et al.
Published: (2024)
A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring
by: Karkaria, Vispi, et al.
Published: (2024)
by: Karkaria, Vispi, et al.
Published: (2024)
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
by: Immordino, Gabriele, et al.
Published: (2024)
by: Immordino, Gabriele, et al.
Published: (2024)
Feasibility of Privacy-Preserving Entity Resolution on Confidential Healthcare Datasets Using Homomorphic Encryption
by: Yao, Yixiang, et al.
Published: (2024)
by: Yao, Yixiang, et al.
Published: (2024)
A Reward-Directed Diffusion Framework for Generative Design Optimization
by: Keramati, Hadi, et al.
Published: (2025)
by: Keramati, Hadi, et al.
Published: (2025)
Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach
by: Zhu, Mengran, et al.
Published: (2024)
by: Zhu, Mengran, et al.
Published: (2024)
RoadFed: A Multimodal Federated Learning System for Improving Road Safety
by: Yuan, Yachao, et al.
Published: (2025)
by: Yuan, Yachao, et al.
Published: (2025)
RDPP-TD: Reputation and Data Privacy-Preserving based Truth Discovery Scheme in Mobile Crowdsensing
by: Wu, Lijian, et al.
Published: (2025)
by: Wu, Lijian, et al.
Published: (2025)
Graph Multi-Similarity Learning for Molecular Property Prediction
by: Xu, Hao, et al.
Published: (2024)
by: Xu, Hao, et al.
Published: (2024)
Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes
by: Herreros-Martínez, A., et al.
Published: (2024)
by: Herreros-Martínez, A., et al.
Published: (2024)
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
by: Purbey, Jebish, et al.
Published: (2024)
by: Purbey, Jebish, et al.
Published: (2024)
SolarSeer: Ultrafast and accurate 24-hour solar irradiance forecasts outperforming numerical weather prediction across the USA
by: Bai, Mingliang, et al.
Published: (2025)
by: Bai, Mingliang, et al.
Published: (2025)
A User-Tunable Machine Learning Framework for Step-Wise Synthesis Planning
by: Prakash, Shivesh, et al.
Published: (2025)
by: Prakash, Shivesh, et al.
Published: (2025)
GLUE: Coordinating Pre-Trained Generative Models for System-Level Design
by: Aebersold, Tim, et al.
Published: (2025)
by: Aebersold, Tim, et al.
Published: (2025)
CardioRAG: A Retrieval-Augmented Generation Framework for Multimodal Chagas Disease Detection
by: Shen, Zhengyang, et al.
Published: (2025)
by: Shen, Zhengyang, et al.
Published: (2025)
Voltage-Based Unsupervised Learning Framework for Bridge Damage Detection in Simultaneous Energy Harvesting and Sensing Systems
by: Yao, S., et al.
Published: (2025)
by: Yao, S., et al.
Published: (2025)
Similar Items
-
Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE
by: Roth, Holger R., et al.
Published: (2026) -
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
by: Chen, Xiaolu, et al.
Published: (2025) -
Fed-RD: Privacy-Preserving Federated Learning for Financial Crime Detection
by: Khan, Md. Saikat Islam, et al.
Published: (2024) -
FD4QC: Application of Classical and Quantum-Hybrid Machine Learning for Financial Fraud Detection A Technical Report
by: Cardaioli, Matteo, et al.
Published: (2025) -
Distributed Monitoring for Data Distribution Shifts in Edge-ML Fraud Detection
by: Karayanni, Nader, et al.
Published: (2024)